Forecasting / MDPI
Citation Profile [Updated: 2026-03-14 21:09:38]
5 Years H Index
9
Impact Factor (IF)
0.54
5 Years IF
0.39
Data available in this
report
[Raw
data] [50 most cited papers]
[50 most relevant papers]
[cites used to compute IF]
[Recent
citations ][Frequent citing
series ] [more data in
EconPapers]
[
trace new citations] [Missing
citations? Add them now]
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Main indicators
Raw Data
| IF | AIF | CIF | IF5 | DOC | CDO | CIT | NCI | CCU | D2Y | C2Y | D5Y | C5Y | SC | %SC | CiY | II | AII | |
| 2018 | 0 | 0.53 | 0.09 | 0 | 11 | 11 | 9 | 1 | 1 | 0 | 0 | 0 | 1 | 0.09 | 0.22 | |||
| 2019 | 0.09 | 0.54 | 0.08 | 0.09 | 2 | 13 | 2 | 1 | 2 | 11 | 1 | 11 | 1 | 0 | 0 | 0.21 | ||
| 2020 | 0 | 0.64 | 0.16 | 0 | 30 | 43 | 98 | 7 | 9 | 13 | 13 | 2 | 28.6 | 7 | 0.23 | 0.3 | ||
| 2021 | 0.66 | 0.74 | 0.56 | 0.56 | 59 | 102 | 129 | 57 | 66 | 32 | 21 | 43 | 24 | 31 | 54.4 | 21 | 0.36 | 0.27 |
| 2022 | 0.71 | 0.73 | 0.61 | 0.65 | 57 | 159 | 63 | 97 | 163 | 89 | 63 | 102 | 66 | 26 | 26.8 | 9 | 0.16 | 0.22 |
| 2023 | 0.36 | 0.69 | 0.42 | 0.4 | 36 | 195 | 60 | 82 | 245 | 116 | 42 | 159 | 64 | 15 | 18.3 | 9 | 0.25 | 0.2 |
| 2024 | 0.55 | 0.81 | 0.42 | 0.48 | 56 | 251 | 35 | 105 | 350 | 93 | 51 | 184 | 89 | 14 | 13.3 | 6 | 0.11 | 0.23 |
| 2025 | 0.54 | 0.35 | 0.39 | 80 | 331 | 9 | 115 | 465 | 92 | 50 | 238 | 93 | 19 | 16.5 | 11 | 0.14 |
| IF: | Two years Impact Factor: C2Y / D2Y |
| AIF: | Average Impact Factor for all series in RePEc in year y |
| CIF: | Cumulative impact factor |
| IF5: | Five years Impact Factor: C5Y / D5Y |
| DOC: | Number of documents published in year y |
| CDO: | Cumulative number of documents published until year y |
| CIT: | Number of citations to papers published in year y |
| NCI: | Number of citations in year y |
| CCU: | Cumulative number of citations to papers published until year y |
| D2Y: | Number of articles published in y-1 plus y-2 |
| C2Y: | Cites in y to articles published in y-1 plus y-2 |
| D5Y: | Number of articles published in y-1 until y-5 |
| C5Y: | Cites in y to articles published in y-1 until y-5 |
| SC: | selft citations in y to articles published in y-1 plus y-2 |
| %SC: | Percentage of selft citations in y to articles published in y-1 plus y-2 |
| CiY: | Cites in year y to documents published in year y |
| II: | Immediacy Index: CiY / Documents. |
| AII: | Average Immediacy Index for series in RePEc in year y |
50 most cited documents in this series
| # | Year | Title | Cited |
|---|---|---|---|
| 1 | 2020 | Modeling and Forecasting Medium-Term Electricity Consumption Using Component Estimation Technique. (2020). Ali, Sajid ; Shah, Ismail ; Iftikhar, Hasnain. In: Forecasting. RePEc:gam:jforec:v:2:y:2020:i:2:p:9-179:d:362019. Full description at Econpapers || Download paper | 17 |
| 2 | 2020 | Bankruptcy Prediction: The Case of the Greek Market. (2020). Papana, Angeliki ; Spyridou, Anastasia. In: Forecasting. RePEc:gam:jforec:v:2:y:2020:i:4:p:27-525:d:455699. Full description at Econpapers || Download paper | 14 |
| 3 | 2020 | Corporate Foresight and Dynamic Capabilities: An Exploratory Study. (2020). Tiberius, Victor ; Semke, Lisa-Marie. In: Forecasting. RePEc:gam:jforec:v:2:y:2020:i:2:p:10-193:d:365981. Full description at Econpapers || Download paper | 12 |
| 4 | 2021 | Modeling and Forecasting Daily Hotel Demand: A Comparison Based on SARIMAX, Neural Networks, and GARCH Models. (2021). Ampountolas, Apostolos. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:3:p:37-595:d:622465. Full description at Econpapers || Download paper | 12 |
| 5 | 2020 | X-Model: Further Development and Possible Modifications. (2020). Kulakov, Sergei. In: Forecasting. RePEc:gam:jforec:v:2:y:2020:i:1:p:2-35:d:315975. Full description at Econpapers || Download paper | 11 |
| 6 | 2021 | Forecasting Principles from Experience with Forecasting Competitions. (2021). Hendry, David ; Doornik, Jurgen ; Castle, Jennifer. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:1:p:10-165:d:504406. Full description at Econpapers || Download paper | 11 |
| 7 | 2023 | Agricultural Commodities in the Context of the Russia-Ukraine War: Evidence from Corn, Wheat, Barley, and Sunflower Oil. (2023). Hakova, Simona ; Kuera, Jii ; Aliu, Florin. In: Forecasting. RePEc:gam:jforec:v:5:y:2023:i:1:p:19-373:d:1104608. Full description at Econpapers || Download paper | 11 |
| 8 | 2023 | On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles. (2023). Murray, Kate ; Carraro, Diego ; Visentin, Andrea ; Rossi, Andrea. In: Forecasting. RePEc:gam:jforec:v:5:y:2023:i:1:p:10-209:d:1050336. Full description at Econpapers || Download paper | 10 |
| 9 | 2021 | Short-Term Electricity Price Forecasting by Employing Ensemble Empirical Mode Decomposition and Extreme Learning Machine. (2021). Aslam, Sheraz ; Khan, Sajjad ; Mustafa, Iqra. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:3:p:28-477:d:580060. Full description at Econpapers || Download paper | 9 |
| 10 | 2021 | Model-Free Time-Aggregated Predictions for Econometric Datasets. (2021). Karmakar, Sayar ; Wu, Kejin. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:4:p:55-933:d:697863. Full description at Econpapers || Download paper | 8 |
| 11 | 2021 | The Wisdom of the Data: Getting the Most Out of Univariate Time Series Forecasting. (2021). Petropoulos, Fotios ; Spiliotis, Evangelos. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:3:p:29-497:d:580455. Full description at Econpapers || Download paper | 7 |
| 12 | 2020 | Dynamic Modeling of Power Outages Caused by Thunderstorms. (2020). Watson, Peter ; Liang, Guannan ; Anagnostou, Emmanouil ; Cerrai, Diego ; Wanik, David ; Alpay, Berk A. In: Forecasting. RePEc:gam:jforec:v:2:y:2020:i:2:p:8-162:d:361802. Full description at Econpapers || Download paper | 7 |
| 13 | 2021 | Forecasting Commodity Prices: Looking for a Benchmark. (2021). Rubaszek, MichaÅ ; Kwas, Marek. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:2:p:27-459:d:577877. Full description at Econpapers || Download paper | 7 |
| 14 | 2021 | Comparing Prophet and Deep Learning to ARIMA in Forecasting Wholesale Food Prices. (2021). Proietti, Massimiliano ; Marconi, Marcello ; Menculini, Lorenzo ; Moretti, Cecilia ; Marini, Andrea ; Bozza, Alessio ; Garinei, Alberto. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:3:p:40-662:d:636189. Full description at Econpapers || Download paper | 7 |
| 15 | 2022 | A Hybrid XGBoost-MLP Model for Credit Risk Assessment on Digital Supply Chain Finance. (2022). Li, Yixuan ; Yeo, Wee Meng ; Stasinakis, Charalampos. In: Forecasting. RePEc:gam:jforec:v:4:y:2022:i:1:p:11-207:d:738411. Full description at Econpapers || Download paper | 6 |
| 16 | 2023 | Data-Driven Methods for the State of Charge Estimation of Lithium-Ion Batteries: An Overview. (2023). Giazitzis, Spyridon ; Leva, Sonia ; Eleftheriadis, Panagiotis ; Ogliari, Emanuele. In: Forecasting. RePEc:gam:jforec:v:5:y:2023:i:3:p:32-599:d:1239485. Full description at Econpapers || Download paper | 6 |
| 17 | 2021 | Probabilistic Day-Ahead Wholesale Price Forecast: A Case Study in Great Britain. (2021). Haben, Stephen ; Caudron, Julien ; Verma, Jake. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:3:p:38-632:d:623967. Full description at Econpapers || Download paper | 6 |
| 18 | 2023 | A Day-Ahead Photovoltaic Power Prediction via Transfer Learning and Deep Neural Networks. (2023). Miraftabzadeh, Seyed Mahdi ; Longo, Michela ; Foiadelli, Federica ; Colombo, Cristian Giovanni. In: Forecasting. RePEc:gam:jforec:v:5:y:2023:i:1:p:12-228:d:1072471. Full description at Econpapers || Download paper | 6 |
| 19 | 2020 | Climatological Drought Forecasting Using Bias Corrected CMIP6 Climate Data: A Case Study for India. (2020). Jogineedi, Rohit ; Maheshwari, Pankaj ; Rahaman, Md Mafuzur ; Shrestha, Alen ; Kalra, Ajay. In: Forecasting. RePEc:gam:jforec:v:2:y:2020:i:2:p:4-84:d:348981. Full description at Econpapers || Download paper | 6 |
| 20 | 2021 | Building Heat Demand Forecasting by Training a Common Machine Learning Model with Physics-Based Simulator. (2021). Koponen, Pekka ; Kannari, Lotta ; Piira, Kalevi ; Kiljander, Jussi ; Piippo, Jouko. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:2:p:19-302:d:540242. Full description at Econpapers || Download paper | 6 |
| 21 | 2022 | Short Term Electric Power Load Forecasting Using Principal Component Analysis and Recurrent Neural Networks. (2022). Veeramsetty, Venkataramana ; Mussetta, Marco ; Grimaccia, Francesco ; Chandra, Dongari Rakesh. In: Forecasting. RePEc:gam:jforec:v:4:y:2022:i:1:p:8-164:d:732285. Full description at Econpapers || Download paper | 6 |
| 22 | 2021 | Improving Hotel Room Demand Forecasts for Vienna across Hotel Classes and Forecast Horizons: Single Models and Combination Techniques Based on Encompassing Tests. (2021). Gunter, Ulrich. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:4:p:54-919:d:689837. Full description at Econpapers || Download paper | 5 |
| 23 | 2021 | COVID-19 and Tourism: Analyzing the Effects of COVID-19 Statistics and Media Coverage on Attitudes toward Tourism. (2021). Godovykh, Maksim ; Ridderstaat, Jorge ; Baker, Carissa ; Fyall, Alan. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:4:p:53-883:d:681511. Full description at Econpapers || Download paper | 5 |
| 24 | 2022 | SIMLR: Machine Learning inside the SIR Model for COVID-19 Forecasting. (2022). Greiner, Russell ; Vega, Roberto ; Flores, Leonardo. In: Forecasting. RePEc:gam:jforec:v:4:y:2022:i:1:p:5-94:d:723710. Full description at Econpapers || Download paper | 5 |
| 25 | 2023 | Large Language Models: Their Success and Impact. (2023). Kang, Yanfei ; Makridakis, Spyros ; Petropoulos, Fotios. In: Forecasting. RePEc:gam:jforec:v:5:y:2023:i:3:p:30-549:d:1225093. Full description at Econpapers || Download paper | 5 |
| 26 | 2021 | Load Forecasting in an Office Building with Different Data Structure and Learning Parameters. (2021). Vale, Zita ; Faria, Pedro ; Khorram, Mahsa ; Ramos, Daniel. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:1:p:15-255:d:521101. Full description at Econpapers || Download paper | 5 |
| 27 | 2023 | Day Ahead Electric Load Forecast: A Comprehensive LSTM-EMD Methodology and Several Diverse Case Studies. (2023). Simpkins, Travis ; Leva, Sonia ; Wood, Michael ; Ogliari, Emanuele ; Nespoli, Alfredo. In: Forecasting. RePEc:gam:jforec:v:5:y:2023:i:1:p:16-314:d:1086025. Full description at Econpapers || Download paper | 5 |
| 28 | 2021 | Electrical Load Forecast by Means of LSTM: The Impact of Data Quality. (2021). Vigani, Sonia ; Pretto, Silvia ; Gavazzeni, Michele ; Paccanelli, Franco ; Ogliari, Emanuele ; Nespoli, Alfredo. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:1:p:6-101:d:495915. Full description at Econpapers || Download paper | 5 |
| 29 | 2021 | Trends in Using IoT with Machine Learning in Health Prediction System. (2021). Hussain, Walayat ; Alrashed, Bashair ; Aldahiri, Amani. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:1:p:12-206:d:512114. Full description at Econpapers || Download paper | 5 |
| 30 | 2022 | Modelling Energy Transition in Germany: An Analysis through Ordinary Differential Equations and System Dynamics. (2022). Guidolin, Mariangela ; de Giovanni, Luigi ; Savio, Andrea. In: Forecasting. RePEc:gam:jforec:v:4:y:2022:i:2:p:25-455:d:790008. Full description at Econpapers || Download paper | 4 |
| 31 | 2021 | Examining Deep Learning Architectures for Crime Classification and Prediction. (2021). Semertzidis, Theodoros ; Daras, Petros ; Stalidis, Panagiotis. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:4:p:46-762:d:654392. Full description at Econpapers || Download paper | 4 |
| 32 | 2024 | Forecasting Thailandâs Transportation CO 2 Emissions: A Comparison among Artificial Intelligent Models. (2024). Ratanavaraha, Vatanavongs ; Janhuaton, Thananya ; Jomnonkwao, Sajjakaj. In: Forecasting. RePEc:gam:jforec:v:6:y:2024:i:2:p:26-484:d:1418607. Full description at Econpapers || Download paper | 4 |
| 33 | 2020 | Bus Travel Time: Experimental Evidence and Forecasting. (2020). Polimeni, Antonio ; Comi, Antonio. In: Forecasting. RePEc:gam:jforec:v:2:y:2020:i:3:p:17-322:d:405406. Full description at Econpapers || Download paper | 4 |
| 34 | 2020 | Sun Position Identification in Sky Images for Nowcasting Application. (2020). Nespoli, Alfredo ; Niccolai, Alessandro. In: Forecasting. RePEc:gam:jforec:v:2:y:2020:i:4:p:26-504:d:445576. Full description at Econpapers || Download paper | 4 |
| 35 | 2022 | The Power of Travel Search Data in Forecasting the Tourism Demand in Dubai. (2022). Rashad, Ahmed. In: Forecasting. RePEc:gam:jforec:v:4:y:2022:i:3:p:36-684:d:868494. Full description at Econpapers || Download paper | 4 |
| 36 | 2018 | Fast Univariate Time Series Prediction of Solar Power for Real-Time Control of Energy Storage System. (2018). Gadh, Rajit ; Chu, Peter ; Majidpour, Mostafa ; Pota, Hemanshu R ; Nazaripouya, Hamidreza. In: Forecasting. RePEc:gam:jforec:v:1:y:2018:i:1:p:8-120:d:170362. Full description at Econpapers || Download paper | 4 |
| 37 | 2021 | Is It Possible to Forecast the Price of Bitcoin?. (2021). Goutte, Stéphane ; Chevallier, Julien ; Guegan, Dominique. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:2:p:24-420:d:564101. Full description at Econpapers || Download paper | 4 |
| 38 | 2021 | Influence of the Characteristics of Weather Information in a Thunderstorm-Related Power Outage Prediction System. (2021). Watson, Peter L ; Koukoula, Marika ; Anagnostou, Emmanouil. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:3:p:34-560:d:608764. Full description at Econpapers || Download paper | 4 |
| 39 | 2024 | Impact of PV and EV Forecasting in the Operation of a Microgrid. (2024). Matrone, Silvana ; Simonetti, Riccardo ; Ramaschi, Riccardo ; Wood, Michael James ; Saleptsis, Marios ; Manzolini, Giampaolo ; Sobic, Filip ; Ogliari, Emanuele ; Gioffre, Domenico ; Fusco, Andrea ; Leva, Sonia. In: Forecasting. RePEc:gam:jforec:v:6:y:2024:i:3:p:32-615:d:1446942. Full description at Econpapers || Download paper | 4 |
| 40 | 2023 | A Hybrid Model for Multi-Day-Ahead Electricity Price Forecasting considering Price Spikes. (2023). Quashie, Mike ; Lopez, Manuel Zamudio ; Zareipour, Hamidreza ; Jaimes, Daniel Manfre. In: Forecasting. RePEc:gam:jforec:v:5:y:2023:i:3:p:28-521:d:1197273. Full description at Econpapers || Download paper | 4 |
| 41 | 2021 | A Model Predictive Control for the Dynamical Forecast of Operating Reserves in Frequency Regulation Services. (2021). Nikolaidis, Pavlos ; Partaourides, Harris. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:1:p:14-241:d:519135. Full description at Econpapers || Download paper | 4 |
| 42 | 2021 | A Time-Varying Gerber Statistic: Application of a Novel Correlation Metric to Commodity Price Co-Movements. (2021). Algieri, Bernardina ; Toscano, Pietro ; Leccadito, Arturo. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:2:p:22-354:d:555557. Full description at Econpapers || Download paper | 4 |
| 43 | 2022 | Deep Learning for Demand Forecasting in the Fashion and Apparel Retail Industry. (2022). Chen, Yan ; Giri, Chandadevi. In: Forecasting. RePEc:gam:jforec:v:4:y:2022:i:2:p:31-581:d:843396. Full description at Econpapers || Download paper | 4 |
| 44 | 2022 | Precision and Reliability of Forecasts Performance Metrics. (2022). St-Aubin, Philippe ; Agard, Bruno. In: Forecasting. RePEc:gam:jforec:v:4:y:2022:i:4:p:48-903:d:958108. Full description at Econpapers || Download paper | 4 |
| 45 | 2020 | Assessment of Direct Normal Irradiance Forecasts Based on IFS/ECMWF Data and Observations in the South of Portugal. (2020). Salgado, Rui ; Canhoto, Paulo ; Costa, Maria Joo ; Perdigo, Joo. In: Forecasting. RePEc:gam:jforec:v:2:y:2020:i:2:p:7-150:d:359168. Full description at Econpapers || Download paper | 3 |
| 46 | 2018 | ARIMA Time Series Models for Full Truckload Transportation Prices. (2018). Miller, Jason W. In: Forecasting. RePEc:gam:jforec:v:1:y:2018:i:1:p:9-134:d:172043. Full description at Econpapers || Download paper | 3 |
| 47 | 2020 | Revisiting the Dynamic Linkages of Treasury Bond Yields for the BRICS: A Forecasting Analysis. (2020). Bekiros, Stelios ; Avdoulas, Christos. In: Forecasting. RePEc:gam:jforec:v:2:y:2020:i:2:p:6-129:d:359124. Full description at Econpapers || Download paper | 3 |
| 48 | 2024 | Forecasting Short- and Long-Term Wind Speed in Limpopo Province Using Machine Learning and Extreme Value Theory. (2024). Maposa, Daniel ; Makubyane, Kgothatso. In: Forecasting. RePEc:gam:jforec:v:6:y:2024:i:4:p:44-907:d:1492137. Full description at Econpapers || Download paper | 3 |
| 49 | 2021 | The Yield Curve as a Leading Indicator: Accuracy and Timing of a Parsimonious Forecasting Model. (2021). Seip, Knut Lehre ; Zhang, Dan. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:2:p:25-436:d:564333. Full description at Econpapers || Download paper | 3 |
| 50 | 2022 | Forecasting Regional Tourism Demand in Morocco from Traditional and AI-Based Methods to Ensemble Modeling. (2022). Taya, Hafsa ; Ouassou, El Houssin. In: Forecasting. RePEc:gam:jforec:v:4:y:2022:i:2:p:24-437:d:787636. Full description at Econpapers || Download paper | 3 |
50 most relevant documents in this series (papers most cited in the last two years)
| # | Year | Title | Cited |
|---|---|---|---|
| 1 | 2023 | Agricultural Commodities in the Context of the Russia-Ukraine War: Evidence from Corn, Wheat, Barley, and Sunflower Oil. (2023). Hakova, Simona ; Kuera, Jii ; Aliu, Florin. In: Forecasting. RePEc:gam:jforec:v:5:y:2023:i:1:p:19-373:d:1104608. Full description at Econpapers || Download paper | 11 |
| 2 | 2021 | Modeling and Forecasting Daily Hotel Demand: A Comparison Based on SARIMAX, Neural Networks, and GARCH Models. (2021). Ampountolas, Apostolos. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:3:p:37-595:d:622465. Full description at Econpapers || Download paper | 8 |
| 3 | 2023 | On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles. (2023). Murray, Kate ; Carraro, Diego ; Visentin, Andrea ; Rossi, Andrea. In: Forecasting. RePEc:gam:jforec:v:5:y:2023:i:1:p:10-209:d:1050336. Full description at Econpapers || Download paper | 6 |
| 4 | 2023 | Data-Driven Methods for the State of Charge Estimation of Lithium-Ion Batteries: An Overview. (2023). Giazitzis, Spyridon ; Leva, Sonia ; Eleftheriadis, Panagiotis ; Ogliari, Emanuele. In: Forecasting. RePEc:gam:jforec:v:5:y:2023:i:3:p:32-599:d:1239485. Full description at Econpapers || Download paper | 6 |
| 5 | 2023 | A Day-Ahead Photovoltaic Power Prediction via Transfer Learning and Deep Neural Networks. (2023). Miraftabzadeh, Seyed Mahdi ; Longo, Michela ; Foiadelli, Federica ; Colombo, Cristian Giovanni. In: Forecasting. RePEc:gam:jforec:v:5:y:2023:i:1:p:12-228:d:1072471. Full description at Econpapers || Download paper | 5 |
| 6 | 2021 | Forecasting Principles from Experience with Forecasting Competitions. (2021). Hendry, David ; Doornik, Jurgen ; Castle, Jennifer. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:1:p:10-165:d:504406. Full description at Econpapers || Download paper | 5 |
| 7 | 2024 | Forecasting Thailandâs Transportation CO 2 Emissions: A Comparison among Artificial Intelligent Models. (2024). Ratanavaraha, Vatanavongs ; Janhuaton, Thananya ; Jomnonkwao, Sajjakaj. In: Forecasting. RePEc:gam:jforec:v:6:y:2024:i:2:p:26-484:d:1418607. Full description at Econpapers || Download paper | 4 |
| 8 | 2023 | Large Language Models: Their Success and Impact. (2023). Kang, Yanfei ; Makridakis, Spyros ; Petropoulos, Fotios. In: Forecasting. RePEc:gam:jforec:v:5:y:2023:i:3:p:30-549:d:1225093. Full description at Econpapers || Download paper | 4 |
| 9 | 2021 | Examining Deep Learning Architectures for Crime Classification and Prediction. (2021). Semertzidis, Theodoros ; Daras, Petros ; Stalidis, Panagiotis. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:4:p:46-762:d:654392. Full description at Econpapers || Download paper | 4 |
| 10 | 2024 | Impact of PV and EV Forecasting in the Operation of a Microgrid. (2024). Matrone, Silvana ; Simonetti, Riccardo ; Ramaschi, Riccardo ; Wood, Michael James ; Saleptsis, Marios ; Manzolini, Giampaolo ; Sobic, Filip ; Ogliari, Emanuele ; Gioffre, Domenico ; Fusco, Andrea ; Leva, Sonia. In: Forecasting. RePEc:gam:jforec:v:6:y:2024:i:3:p:32-615:d:1446942. Full description at Econpapers || Download paper | 4 |
| 11 | 2021 | Forecasting Commodity Prices: Looking for a Benchmark. (2021). Rubaszek, MichaÅ ; Kwas, Marek. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:2:p:27-459:d:577877. Full description at Econpapers || Download paper | 4 |
| 12 | 2023 | Day Ahead Electric Load Forecast: A Comprehensive LSTM-EMD Methodology and Several Diverse Case Studies. (2023). Simpkins, Travis ; Leva, Sonia ; Wood, Michael ; Ogliari, Emanuele ; Nespoli, Alfredo. In: Forecasting. RePEc:gam:jforec:v:5:y:2023:i:1:p:16-314:d:1086025. Full description at Econpapers || Download paper | 4 |
| 13 | 2023 | A Hybrid Model for Multi-Day-Ahead Electricity Price Forecasting considering Price Spikes. (2023). Quashie, Mike ; Lopez, Manuel Zamudio ; Zareipour, Hamidreza ; Jaimes, Daniel Manfre. In: Forecasting. RePEc:gam:jforec:v:5:y:2023:i:3:p:28-521:d:1197273. Full description at Econpapers || Download paper | 4 |
| 14 | 2020 | Bankruptcy Prediction: The Case of the Greek Market. (2020). Papana, Angeliki ; Spyridou, Anastasia. In: Forecasting. RePEc:gam:jforec:v:2:y:2020:i:4:p:27-525:d:455699. Full description at Econpapers || Download paper | 3 |
| 15 | 2022 | Modelling Energy Transition in Germany: An Analysis through Ordinary Differential Equations and System Dynamics. (2022). Guidolin, Mariangela ; de Giovanni, Luigi ; Savio, Andrea. In: Forecasting. RePEc:gam:jforec:v:4:y:2022:i:2:p:25-455:d:790008. Full description at Econpapers || Download paper | 3 |
| 16 | 2022 | Precision and Reliability of Forecasts Performance Metrics. (2022). St-Aubin, Philippe ; Agard, Bruno. In: Forecasting. RePEc:gam:jforec:v:4:y:2022:i:4:p:48-903:d:958108. Full description at Econpapers || Download paper | 3 |
| 17 | 2021 | Model-Free Time-Aggregated Predictions for Econometric Datasets. (2021). Karmakar, Sayar ; Wu, Kejin. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:4:p:55-933:d:697863. Full description at Econpapers || Download paper | 3 |
| 18 | 2021 | A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling. (2021). Mathonsi, Thabang ; van Zyl, Terence L. In: Forecasting. RePEc:gam:jforec:v:4:y:2021:i:1:p:1-25:d:708917. Full description at Econpapers || Download paper | 3 |
| 19 | 2021 | Forecasting the Preparatory Phase of Induced Earthquakes by Recurrent Neural Network. (2021). Picozzi, Matteo ; Iaccarino, Antonio Giovanni. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:1:p:2-36:d:474465. Full description at Econpapers || Download paper | 3 |
| 20 | 2022 | Deep Learning for Demand Forecasting in the Fashion and Apparel Retail Industry. (2022). Chen, Yan ; Giri, Chandadevi. In: Forecasting. RePEc:gam:jforec:v:4:y:2022:i:2:p:31-581:d:843396. Full description at Econpapers || Download paper | 3 |
| 21 | 2024 | Forecasting Short- and Long-Term Wind Speed in Limpopo Province Using Machine Learning and Extreme Value Theory. (2024). Maposa, Daniel ; Makubyane, Kgothatso. In: Forecasting. RePEc:gam:jforec:v:6:y:2024:i:4:p:44-907:d:1492137. Full description at Econpapers || Download paper | 3 |
| 22 | 2022 | A Hybrid XGBoost-MLP Model for Credit Risk Assessment on Digital Supply Chain Finance. (2022). Li, Yixuan ; Yeo, Wee Meng ; Stasinakis, Charalampos. In: Forecasting. RePEc:gam:jforec:v:4:y:2022:i:1:p:11-207:d:738411. Full description at Econpapers || Download paper | 3 |
| 23 | 2021 | Is It Possible to Forecast the Price of Bitcoin?. (2021). Goutte, Stéphane ; Chevallier, Julien ; Guegan, Dominique. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:2:p:24-420:d:564101. Full description at Econpapers || Download paper | 3 |
| 24 | 2021 | Probabilistic Day-Ahead Wholesale Price Forecast: A Case Study in Great Britain. (2021). Haben, Stephen ; Caudron, Julien ; Verma, Jake. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:3:p:38-632:d:623967. Full description at Econpapers || Download paper | 3 |
| 25 | 2023 | Macroeconomic Predictions Using Payments Data and Machine Learning. (2023). Desai, Ajit ; Chapman, James. In: Forecasting. RePEc:gam:jforec:v:5:y:2023:i:4:p:36-683:d:1288660. Full description at Econpapers || Download paper | 3 |
| 26 | 2023 | Comparative Analysis of Machine Learning, Hybrid, and Deep Learning Forecasting Models: Evidence from European Financial Markets and Bitcoins. (2023). Ampountolas, Apostolos. In: Forecasting. RePEc:gam:jforec:v:5:y:2023:i:2:p:26-486:d:1175231. Full description at Econpapers || Download paper | 2 |
| 27 | 2024 | Predicting Power Consumption Using Deep Learning with Stationary Wavelet. (2024). Derbel, Faouzi ; Fakhfakh, Ahmed ; Taouil, Khaled ; Frikha, Majdi. In: Forecasting. RePEc:gam:jforec:v:6:y:2024:i:3:p:43-884:d:1484006. Full description at Econpapers || Download paper | 2 |
| 28 | 2022 | The Power of Travel Search Data in Forecasting the Tourism Demand in Dubai. (2022). Rashad, Ahmed. In: Forecasting. RePEc:gam:jforec:v:4:y:2022:i:3:p:36-684:d:868494. Full description at Econpapers || Download paper | 2 |
| 29 | 2021 | The Yield Curve as a Leading Indicator: Accuracy and Timing of a Parsimonious Forecasting Model. (2021). Seip, Knut Lehre ; Zhang, Dan. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:2:p:25-436:d:564333. Full description at Econpapers || Download paper | 2 |
| 30 | 2022 | Advances in Time Series Forecasting Development for Power Systemsâ Operation with MLOps. (2022). Gurses-Tran, Gonca ; Monti, Antonello. In: Forecasting. RePEc:gam:jforec:v:4:y:2022:i:2:p:28-524:d:825213. Full description at Econpapers || Download paper | 2 |
| 31 | 2024 | The Technological Impact on Employment in Spain between 2023 and 2035. (2024). Benomar, Wafaa ; Chemlal, Oussama. In: Forecasting. RePEc:gam:jforec:v:6:y:2024:i:2:p:17-325:d:1386527. Full description at Econpapers || Download paper | 2 |
| 32 | 2021 | Load Forecasting in an Office Building with Different Data Structure and Learning Parameters. (2021). Vale, Zita ; Faria, Pedro ; Khorram, Mahsa ; Ramos, Daniel. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:1:p:15-255:d:521101. Full description at Econpapers || Download paper | 2 |
| 33 | 2022 | SIMLR: Machine Learning inside the SIR Model for COVID-19 Forecasting. (2022). Greiner, Russell ; Vega, Roberto ; Flores, Leonardo. In: Forecasting. RePEc:gam:jforec:v:4:y:2022:i:1:p:5-94:d:723710. Full description at Econpapers || Download paper | 2 |
| 34 | 2025 | Sensitivity Analysis of Priors in the Bayesian Dirichlet Auto-Regressive Moving Average Model. (2025). Weiss, Robert E ; Medina, Liz ; Katz, Harrison. In: Forecasting. RePEc:gam:jforec:v:7:y:2025:i:3:p:32-:d:1684138. Full description at Econpapers || Download paper | 2 |
| 35 | 2020 | Modeling and Forecasting Medium-Term Electricity Consumption Using Component Estimation Technique. (2020). Ali, Sajid ; Shah, Ismail ; Iftikhar, Hasnain. In: Forecasting. RePEc:gam:jforec:v:2:y:2020:i:2:p:9-179:d:362019. Full description at Econpapers || Download paper | 2 |
| 36 | 2024 | Modeling CO 2 Emission Forecasting in Energy Consumption of the Industrial Building Sector under Sustainability Policy in Thailand: Enhancing the LISREL-LGM Model. (2024). Sutthichaimethee, Pruethsan ; Phong, Nathaporn ; Junsiri, Chaiyan. In: Forecasting. RePEc:gam:jforec:v:6:y:2024:i:3:p:27-501:d:1420791. Full description at Econpapers || Download paper | 2 |
| 37 | 2021 | Building Heat Demand Forecasting by Training a Common Machine Learning Model with Physics-Based Simulator. (2021). Koponen, Pekka ; Kannari, Lotta ; Piira, Kalevi ; Kiljander, Jussi ; Piippo, Jouko. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:2:p:19-302:d:540242. Full description at Econpapers || Download paper | 2 |
| 38 | 2021 | Short-Term Electricity Price Forecasting by Employing Ensemble Empirical Mode Decomposition and Extreme Learning Machine. (2021). Aslam, Sheraz ; Khan, Sajjad ; Mustafa, Iqra. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:3:p:28-477:d:580060. Full description at Econpapers || Download paper | 2 |
| 39 | 2024 | Evaluating Wind Speed Forecasting Models: A Comparative Study of CNN, DAN2, Random Forest and XGBOOST in Diverse South African Weather Conditions. (2024). Ravele, Thakhani ; Mugware, Fhulufhelo Walter ; Sigauke, Caston. In: Forecasting. RePEc:gam:jforec:v:6:y:2024:i:3:p:35-699:d:1458948. Full description at Econpapers || Download paper | 2 |
| 40 | 2024 | Granger Causality-Based Forecasting Model for Rainfall at Ratnapura Area, Sri Lanka: A Deep Learning Approach. (2024). Mammadov, Musa ; Lakraj, Pemantha ; Tilakaratne, Chandima ; Saubhagya, Shanthi. In: Forecasting. RePEc:gam:jforec:v:6:y:2024:i:4:p:56-1151:d:1533295. Full description at Econpapers || Download paper | 2 |
| 41 | 2023 | Decompose and Conquer: Time Series Forecasting with Multiseasonal Trend Decomposition Using Loess. (2023). Musilek, Petr ; Ardakanian, Omid ; Sohrabbeig, Amirhossein. In: Forecasting. RePEc:gam:jforec:v:5:y:2023:i:4:p:37-696:d:1298355. Full description at Econpapers || Download paper | 2 |
| 42 | 2023 | Advancements in Downscaling Global Climate Model Temperature Data in Southeast Asia: A Machine Learning Approach. (2023). Amnuaylojaroen, Teerachai. In: Forecasting. RePEc:gam:jforec:v:6:y:2023:i:1:p:1-17:d:1303994. Full description at Econpapers || Download paper | 2 |
| 43 | 2021 | The Wisdom of the Data: Getting the Most Out of Univariate Time Series Forecasting. (2021). Petropoulos, Fotios ; Spiliotis, Evangelos. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:3:p:29-497:d:580455. Full description at Econpapers || Download paper | 2 |
| 44 | 2022 | Forecasting Daily and Weekly Passenger Demand for Urban Rail Transit Stations Based on a Time Series Model Approach. (2022). Chen, Weiya ; Chuwang, Dung David. In: Forecasting. RePEc:gam:jforec:v:4:y:2022:i:4:p:49-924:d:974723. Full description at Econpapers || Download paper | 2 |
| 45 | 2024 | Electricity Consumption Forecasting: An Approach Using Cooperative Ensemble Learning with SHapley Additive exPlanations. (2024). Rodrigues, Erick Oliveira ; Dal, Matheus Henrique ; Oliveira, Gilson Adamczuk ; Alba, Eduardo Luiz. In: Forecasting. RePEc:gam:jforec:v:6:y:2024:i:3:p:42-863:d:1482246. Full description at Econpapers || Download paper | 2 |
| 46 | 2022 | Big Data and Predictive Analytics for Business Intelligence: A Bibliographic Study (2000â2021). (2022). Chen, Yili ; Wang, Han ; Li, Congdong. In: Forecasting. RePEc:gam:jforec:v:4:y:2022:i:4:p:42-786:d:923606. Full description at Econpapers || Download paper | 2 |
| 47 | 2021 | A Stochastic Estimation Framework for Yearly Evolution of Worldwide Electricity Consumption. (2021). Al-Haija, Qasem Abu. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:2:p:16-266:d:528336. Full description at Econpapers || Download paper | 2 |
| 48 | 2025 | Optimizing Credit Risk Prediction for Peer-to-Peer Lending Using Machine Learning. (2025). Ramos, Patrcia ; Oliveira, Jos Manuel ; Benilles, Billel ; Halitim, Ahmed Rami ; Souadda, Lyne Imene. In: Forecasting. RePEc:gam:jforec:v:7:y:2025:i:3:p:35-:d:1690341. Full description at Econpapers || Download paper | 2 |
| 49 | 2018 | ARIMA Time Series Models for Full Truckload Transportation Prices. (2018). Miller, Jason W. In: Forecasting. RePEc:gam:jforec:v:1:y:2018:i:1:p:9-134:d:172043. Full description at Econpapers || Download paper | 2 |
| 50 | 2024 | Is Football Unpredictable? Predicting Matches Using Neural Networks. (2024). Teixeira, Joao P ; Fialho, Gabriel ; Luiz, Luiz E. In: Forecasting. RePEc:gam:jforec:v:6:y:2024:i:4:p:57-1168:d:1542477. Full description at Econpapers || Download paper | 2 |
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| 2025 | A Multi-Stage Feature Selection and Explainable Machine Learning Framework for Forecasting Transportation CO 2 Emissions. (2025). Sahraei, Mohammad Ali ; Li, Keren ; Qiao, Qingyao. In: Energies. RePEc:gam:jeners:v:18:y:2025:i:15:p:4184-:d:1719272. Full description at Econpapers || Download paper | |
| 2025 | Dynamic Dual-Phase Forecasting Model for New Product Demand Using Machine Learning and Statistical Control. (2025). Wang, Chien-Chih. In: Mathematics. RePEc:gam:jmathe:v:13:y:2025:i:10:p:1613-:d:1655713. Full description at Econpapers || Download paper | |
| 2025 | Forecasting Financial Literacy Levels with Respect to Consumer Shopping Behaviour. (2025). Rosnerova, Zuzana ; Ponisciakova, Olga ; Svabova, Lucia ; Kicova, Eva. In: IJFS. RePEc:gam:jijfss:v:13:y:2025:i:1:p:26-:d:1591012. Full description at Econpapers || Download paper | |
| 2025 | A Fusion of Deep Learning and Time Series Regression for Flood Forecasting: An Application to the Ratnapura Area Based on the Kalu River Basin in Sri Lanka. (2025). Mammadov, Musa ; Lakraj, Pemantha ; Tilakaratne, Chandima ; Saubhagya, Shanthi. In: Forecasting. RePEc:gam:jforec:v:7:y:2025:i:2:p:29-:d:1681948. Full description at Econpapers || Download paper | |
| 2025 | Deep Learning-Based Multi-Source Precipitation Forecasting in Arid Regions Using Different Optimizations: A Case Study from Konya, Turkey. (2025). Demir, Vahdettin. In: Forecasting. RePEc:gam:jforec:v:7:y:2025:i:4:p:60-:d:1774631. Full description at Econpapers || Download paper | |
| 2025 | Forecasting Outcomes Using Multi-Option, Advantage-Sensitive Thurstone-Motivated Models. (2025). Gyarmati, Lszl ; Orbn-Mihlyk, VA. In: Forecasting. RePEc:gam:jforec:v:7:y:2025:i:3:p:34-:d:1688099. Full description at Econpapers || Download paper | |
| 2025 | An Extension of Laor Weight Initialization for Deep Time-Series Forecasting: Evidence from Thai Equity Risk Prediction. (2025). Boongasame, Laor ; Petchpol, Katsamapol. In: Forecasting. RePEc:gam:jforec:v:7:y:2025:i:3:p:47-:d:1740771. Full description at Econpapers || Download paper | |
| 2025 | Three Environments, One Problem: Forecasting Water Temperature in Central Europe in Response to Climate Change. (2025). Amnuaylojaroen, Teerachai ; Szyga-Pluta, Katarzyna ; Sojka, Mariusz ; Ptak, Mariusz. In: Forecasting. RePEc:gam:jforec:v:7:y:2025:i:2:p:24-:d:1667432. Full description at Econpapers || Download paper | |
| 2025 | Enhancing Sustainable Strategic Governance for Energy-Consumption Reduction Towards Carbon Neutrality in the Energy and Transportation Sectors. (2025). Luo, Jianhui ; Wattana, Buncha ; Sutthichaimethee, Pruethsan ; Sa-Ngiamvibool, Worawat. In: Sustainability. RePEc:gam:jsusta:v:17:y:2025:i:6:p:2659-:d:1614272. Full description at Econpapers || Download paper | |
| 2025 | Evaluating the Impact of Frequency Decomposition Techniques on LSTM-Based Household Energy Consumption Forecasting. (2025). Taktak, Maissa ; Derbel, Faouzi. In: Energies. RePEc:gam:jeners:v:18:y:2025:i:10:p:2507-:d:1654688. Full description at Econpapers || Download paper | |
| 2025 | The Role of Reclaimed Water in Urban Flood Management: Public Perception and Acceptance. (2025). Shrestha, Sujan ; Dahal, Dewasis ; Poudel, Bishal ; Kalra, Ajay ; Banjara, Mandip. In: Earth Science Research. RePEc:ibn:esrjnl:v:14:y:2025:i:1:p:1. Full description at Econpapers || Download paper |
Recent citations
Recent citations received in 2025
| Year | Citing document | |
|---|---|---|
| 2025 | CTBench: Cryptocurrency Time Series Generation Benchmark. (2025). Jin, Chen ; Yu, Xin ; Bao, Yifan ; Huang, Qiang ; Wang, Qiang. In: Papers. RePEc:arx:papers:2508.02758. Full description at Econpapers || Download paper | |
| 2025 | Systematic review on uncertainty quantification in machine learning-based building energy modeling. (2025). Atamturktur, S ; Hu, Y ; Chen, L ; Wang, J ; Xu, X. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:218:y:2025:i:c:s1364032125004903. Full description at Econpapers || Download paper | |
| 2025 | Short-Term Forecasting of Unplanned Power Outages Using Machine Learning Algorithms: A Robust Feature Engineering Strategy Against Multicollinearity and Nonlinearity. (2025). Ranganai, Edmore ; Sivhugwana, Khathutshelo Steven. In: Energies. RePEc:gam:jeners:v:18:y:2025:i:18:p:4994-:d:1753724. Full description at Econpapers || Download paper | |
| 2025 | Forecasting Installation Demand Using Machine Learning: Evidence from a Large PV Installer in Poland. (2025). Jankowski, Rafa ; Zieliska, Anna. In: Energies. RePEc:gam:jeners:v:18:y:2025:i:18:p:4998-:d:1753768. Full description at Econpapers || Download paper | |
| 2025 | Probabilistic Demand Forecasting in the Southeast Region of the Mexican Power System Using Machine Learning Methods. (2025). Bernal, Ivan Itai ; Lorenzo, Roberto Jair ; de los Ngeles, Mara ; Garca, Jaime Robles ; Badaoui, Mohamed ; Romero, David Romero ; Moreno, Rodolfo Alfonso. In: Forecasting. RePEc:gam:jforec:v:7:y:2025:i:3:p:39-:d:1705034. Full description at Econpapers || Download paper | |
| 2025 | Can Simple Balancing Algorithms Improve School Dropout Forecasting? The Case of the State Education Network of EspÃrito Santo, Brazil. (2025). de Almeida, Guilherme Armando ; de Deus, Kiara. In: Forecasting. RePEc:gam:jforec:v:7:y:2025:i:4:p:59-:d:1774285. Full description at Econpapers || Download paper | |
| 2025 | Forecasting the U.S. Renewable-Energy Mix with an ALR-BDARMA Compositional Time-Series Framework. (2025). Katz, Harrison ; Maierhofer, Thomas. In: Forecasting. RePEc:gam:jforec:v:7:y:2025:i:4:p:62-:d:1778278. Full description at Econpapers || Download paper | |
| 2025 | Deviations from Normality in Autocorrelation Functions and Their Implications for MA(q) Modeling. (2025). Royer-Carenzi, Manuela ; Hassani, Hossein. In: Stats. RePEc:gam:jstats:v:8:y:2025:i:1:p:19-:d:1596045. Full description at Econpapers || Download paper | |
| 2025 | Day-Ahead Electricity Price Forecasting for Sustainable Electricity Markets: A Multi-Objective Optimization Approach Combining Improved NSGA-II and RBF Neural Networks. (2025). Sun, Yumiao ; Song, Shiwei ; Wang, Donglai ; Zhang, Guifan ; Liu, Zhenghan ; Qiu, Shuang. In: Sustainability. RePEc:gam:jsusta:v:17:y:2025:i:10:p:4551-:d:1657146. Full description at Econpapers || Download paper |
Recent citations received in 2024
| Year | Citing document | |
|---|---|---|
| 2024 | Hypertuned wavelet convolutional neural network with long short-term memory for time series forecasting in hydroelectric power plants. (2024). Seman, Laio Oriel ; Stefenon, Stefano Frizzo ; Mariani, Viviana Cocco ; Santos, Leandro Dos ; Finardi, Erlon Cristian ; da Silva, Evandro Cardozo. In: Energy. RePEc:eee:energy:v:313:y:2024:i:c:s036054422403696x. Full description at Econpapers || Download paper | |
| 2024 | Hybrid Proximal Policy OptimizationâWasserstein Generative Adversarial Network Framework for Hosting Capacity Optimization in Renewable-Integrated Power Systems. (2024). Cai, Chao ; Han, Jun ; Xu, Zhengyang ; Liu, Hong ; Pan, Wenjie. In: Energies. RePEc:gam:jeners:v:17:y:2024:i:24:p:6234-:d:1541180. Full description at Econpapers || Download paper | |
| 2024 | Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions. (2024). Binnewies, Sebastian ; John, David L ; Stantic, Bela. In: Forecasting. RePEc:gam:jforec:v:6:y:2024:i:3:p:34-671:d:1457158. Full description at Econpapers || Download paper | |
| 2024 | Predicting Power Consumption Using Deep Learning with Stationary Wavelet. (2024). Derbel, Faouzi ; Fakhfakh, Ahmed ; Taouil, Khaled ; Frikha, Majdi. In: Forecasting. RePEc:gam:jforec:v:6:y:2024:i:3:p:43-884:d:1484006. Full description at Econpapers || Download paper | |
| 2024 | Forecasting Short- and Long-Term Wind Speed in Limpopo Province Using Machine Learning and Extreme Value Theory. (2024). Maposa, Daniel ; Makubyane, Kgothatso. In: Forecasting. RePEc:gam:jforec:v:6:y:2024:i:4:p:44-907:d:1492137. Full description at Econpapers || Download paper | |
| 2024 | Review of the Natural Time Analysis Method and Its Applications. (2024). Christopoulos, Stavros-Richard G ; Sarlis, Nicholas V ; Skordas, Efthimios S ; Varotsos, Panayiotis A. In: Mathematics. RePEc:gam:jmathe:v:12:y:2024:i:22:p:3582-:d:1522099. Full description at Econpapers || Download paper |
Recent citations received in 2023
| Year | Citing document | |
|---|---|---|
| 2023 | A network-based strategy of price correlations for optimal cryptocurrency portfolios. (2023). Rocha, Luis ; Jing, Ruixue ; Correa, Luis Enrique. In: Papers. RePEc:arx:papers:2304.02362. Full description at Econpapers || Download paper | |
| 2023 | Bayesian framework for characterizing cryptocurrency market dynamics, structural dependency, and volatility using potential field. (2023). Negi, Neeraj ; Aprem, Anup. In: Papers. RePEc:arx:papers:2308.01013. Full description at Econpapers || Download paper | |
| 2023 | A network-based strategy of price correlations for optimal cryptocurrency portfolios. (2023). Rocha, Luis ; Jing, Ruixue. In: Finance Research Letters. RePEc:eee:finlet:v:58:y:2023:i:pc:s1544612323008759. Full description at Econpapers || Download paper | |
| 2023 | A Holistic Approach to Power Systems Using Innovative Machine Learning and System Dynamics. (2023). Rabelo, Luis ; Gutierrez-Franco, Edgar ; Ibrahim, Bibi ; Sarmiento, Alfonso T. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:13:p:5225-:d:1189011. Full description at Econpapers || Download paper | |
| 2023 | Feature Transfer and Rapid Adaptation for Few-Shot Solar Power Forecasting. (2023). Cao, Zhi ; Li, Yujia ; Wang, Yimei ; Ren, Xin ; Yan, Jie ; Chen, Fuhao. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:17:p:6211-:d:1226153. Full description at Econpapers || Download paper | |
| 2023 | Agricultural Commodities in the Context of the Russia-Ukraine War: Evidence from Corn, Wheat, Barley, and Sunflower Oil. (2023). Hakova, Simona ; Kuera, Jii ; Aliu, Florin. In: Forecasting. RePEc:gam:jforec:v:5:y:2023:i:1:p:19-373:d:1104608. Full description at Econpapers || Download paper | |
| 2023 | Forecasting the Traffic Flow by Using ARIMA and LSTM Models: Case of Muhima Junction. (2023). Katambire, Vienna N ; Musabe, Richard ; Mukanyiligira, Didacienne ; Uwitonze, Alfred. In: Forecasting. RePEc:gam:jforec:v:5:y:2023:i:4:p:34-628:d:1279841. Full description at Econpapers || Download paper | |
| 2023 | A Structured Narrative Prompt for Prompting Narratives from Large Language Models: Sentiment Assessment of ChatGPT-Generated Narratives and Real Tweets. (2023). Zamponi, Virginia ; Gore, Ross ; Obrien, Kevin ; Jensen, Erik J ; Frydenlund, Erika ; Lynch, Christopher J. In: Future Internet. RePEc:gam:jftint:v:15:y:2023:i:12:p:375-:d:1286429. Full description at Econpapers || Download paper | |
| 2023 | The Predictive Power of Social Media Sentiment: Evidence from Cryptocurrencies and Stock Markets Using NLP and Stochastic ANNs. (2023). Andria, Joseph ; Filograsso, Gianni ; di Tollo, Giacomo. In: Mathematics. RePEc:gam:jmathe:v:11:y:2023:i:16:p:3441-:d:1212743. Full description at Econpapers || Download paper |
Recent citations received in 2022
| Year | Citing document | |
|---|---|---|
| 2022 | An Improved Multi-Objective Optimization Decision Method Using NSGA-III for a Bivariate Precision Fertilizer Applicator. (2022). Zhou, Zhigang ; Xu, Zhidong ; Dang, Yugong ; Wang, Jun ; Ma, Hongen. In: Agriculture. RePEc:gam:jagris:v:12:y:2022:i:9:p:1492-:d:917632. Full description at Econpapers || Download paper | |
| 2022 | ReNFuzz-LF: A Recurrent Neurofuzzy System for Short-Term Load Forecasting. (2022). Mastorocostas, Paris ; Kandilogiannakis, George ; Voulodimos, Athanasios. In: Energies. RePEc:gam:jeners:v:15:y:2022:i:10:p:3637-:d:816688. Full description at Econpapers || Download paper | |
| 2022 | A Hybrid Algorithm-Level Ensemble Model for Imbalanced Credit Default Prediction in the Energy Industry. (2022). Wang, Kui ; Sun, Hao ; Li, Gang. In: Energies. RePEc:gam:jeners:v:15:y:2022:i:14:p:5206-:d:865662. Full description at Econpapers || Download paper | |
| 2022 | Editorial for Special Issue: âFeature Papers of Forecasting 2021â. (2022). Leva, Sonia. In: Forecasting. RePEc:gam:jforec:v:4:y:2022:i:1:p:18-337:d:763790. Full description at Econpapers || Download paper | |
| 2022 | The Power of Travel Search Data in Forecasting the Tourism Demand in Dubai. (2022). Rashad, Ahmed. In: Forecasting. RePEc:gam:jforec:v:4:y:2022:i:3:p:36-684:d:868494. Full description at Econpapers || Download paper | |
| 2022 | A Novel Approach on Deep LearningâBased Decision Support System Applying Multiple Output LSTM-Autoencoder: Focusing on Identifying Variations by PHSMsâ Effect over COVID-19 Pandemic. (2022). Jang, Yong-Ju ; Sung, Tae-Eung ; Lee, Sun-Hong ; Kim, Min-Seung ; Choi, Ji-Hye. In: IJERPH. RePEc:gam:jijerp:v:19:y:2022:i:11:p:6763-:d:829708. Full description at Econpapers || Download paper | |
| 2022 | Invisible Effect of Virtual Water Transfer on Water Quantity Conflict in Transboundary RiversâTaking Ili River as a Case. (2022). Zhao, Yue ; Xu, Xia ; Chen, Xiangnan ; Yu, Qianwen ; Wu, Fengping. In: IJERPH. RePEc:gam:jijerp:v:19:y:2022:i:15:p:8917-:d:869382. Full description at Econpapers || Download paper | |
| 2022 | Machine Learning, Deep Learning, and Mathematical Models to Analyze Forecasting and Epidemiology of COVID-19: A Systematic Literature Review. (2022). Alghamdi, Saad Abdulla ; Alassafi, Madini O ; Saleem, Farrukh ; Al-Malaise, Abdullah Saad. In: IJERPH. RePEc:gam:jijerp:v:19:y:2022:i:9:p:5099-:d:799529. Full description at Econpapers || Download paper | |
| 2022 | Developments in Bioelectricity and Perspectives in Italy: An Analysis of Regional Production Patterns. (2022). Guidolin, Mariangela ; Lavagnolo, Maria Cristina ; Ferrari, Giovanni ; Marinello, Francesco ; Savio, Andrea ; Pezzuolo, Andrea. In: Sustainability. RePEc:gam:jsusta:v:14:y:2022:i:22:p:15030-:d:971892. Full description at Econpapers || Download paper |
10 most frequent citing series
| # | Series | H | Cites | |
|---|---|---|---|---|
| 1 | Forecasting / MDPI | 9 | 105 | |
| 2 | Energies / MDPI | 59 | 72 | |
| 3 | Sustainability / MDPI | 75 | 46 | |
| 4 | Mathematics / MDPI | 20 | 22 | |
| 5 | Papers / arXiv.org | 97 | 16 | |
| 6 | International Journal of Forecasting / Elsevier | 94 | 12 | |
| 7 | Applied Energy / Elsevier | 130 | 8 | |
| 8 | IJERPH / MDPI | 48 | 6 | |
| 9 | Renewable Energy / Elsevier | 101 | 6 | |
| 10 | Reliability Engineering and System Safety / Elsevier | 61 | 6 | |
| 11 | Energy Economics / Elsevier | 178 | 4 |