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2. Photovoltaic Power Forecasting: Assessment of the Impact of Multiple Sources of Spatio-Temporal Data on Forecast Accuracy. (2021). Agoua, Xwegnon Ghislain ; Girard, Robin ; Kariniotakis, Georges.
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3. Regional Solar Irradiance Forecast for Kanto Region by Support Vector Regression Using Forecast of Meso-Ensemble Prediction System. (2021). Honda, Yuki ; Nakaegawa, Tosiyuki ; Oozeki, Takashi ; Takamatsu, Takahiro ; Kazumori, Masahiro ; Ohtake, Hideaki.
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4. Post-processing in solar forecasting: Ten overarching thinking tools. (2021). van der Meer, Dennis ; Yang, Dazhi.
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5. Very short term load forecasting of residential electricity consumption using the Markov-chain mixture distribution (MCM) model. (2021). Widen, Joakim ; Munkhammar, Joakim ; van der Meer, Dennis.
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6. Combining Artificial Intelligence with Physics-Based Methods for Probabilistic Renewable Energy Forecasting. (2020). Hussain, Tahani ; Dettling, Susan ; Haupt, Sue Ellen ; Alessandrini, Stefano ; Linden, Seth ; Nguyen, Nhi ; Al-Rasheedi, Majed ; Lee, Jared A ; Petzke, William ; Wiener, Gerry ; McCandless, Tyler C ; Kosovi, Branko ; Brummet, Thomas.
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7. Benchmark Comparison of Analytical, Data-Based and Hybrid Models for Multi-Step Short-Term Photovoltaic Power Generation Forecasting. (2020). Bezas, Napoleon ; Zyglakis, Lampros ; Xanthopoulou, Georgia ; Kehagias, Dionysios ; Ioannidis, Dimosthenis ; Tzovaras, Dimitrios ; Timplalexis, Christos ; Salamanis, Athanasios I ; Tsolakis, Apostolos C ; Bintoudi, Angelina D.
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8. Key Operational Issues on the Integration of Large-Scale Solar Power Generation—A Literature Review. (2020). Wang, Yanyang ; Li, Wei ; Chen, Ping ; Ren, Hui ; Qi, Hailong.
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9. A Two-Step Energy Management Method Guided by Day-Ahead Quantile Solar Forecasts: Cross-Impacts on Four Services for Smart-Buildings. (2020). Bourdin, Vincent ; Badosa, Jordi ; Calderon-Obaldia, Fausto ; Migan-Dubois, Anne.
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10. Hour-Ahead Photovoltaic Power Forecasting Using an Analog Plus Neural Network Ensemble Method. (2020). Qian, Zheng ; Pei, Yan ; Wang, Jingyue.
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11. The Schaake Shuffle Technique to Combine Solar and Wind Power Probabilistic Forecasting. (2020). McCandless, Tyler ; Alessandrini, Stefano.
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12. Added-value of ensemble prediction system on the quality of solar irradiance probabilistic forecasts. (2020). Pinson, Pierre ; Lauret, Philippe ; David, Mathieu ; le Gal, Josselin ; Badosa, Jordi.
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13. Short-term global horizontal irradiance forecasting based on a hybrid CNN-LSTM model with spatiotemporal correlations. (2020). Wei, Zhinong ; Sun, LI ; Liu, Ling ; Cheng, Lilin ; Zang, Haixiang.
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14. Intra-day solar probabilistic forecasts including local short-term variability and satellite information. (2020). Branco, V ; Alonso-Suarez, R ; Lauret, P ; David, M.
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15. Residual load probabilistic forecast for reserve assessment: A real case study. (2020). Pierro, Marco ; Spada, Francesco ; Maggioni, Enrico ; Moser, David ; Cornaro, Cristina ; Perotto, Alessandro ; de Felice, Matteo.
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16. Using the analog ensemble method as a proxy measurement for wind power predictability. (2020). Shahriari, M ; delle Monache, L ; Clemente-Harding, L ; Cervone, G.
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17. Improving solar forecasting using Deep Learning and Portfolio Theory integration. (2020). , Paulo ; Anderson, Marcello ; Fernandez-Ramirez, Luis M.
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18. Short-term forecasting of CO2 emission intensity in power grids by machine learning. (2020). Bacher, Peder ; Corradi, Olivier ; Leerbeck, Kenneth ; Madsen, Henrik ; Goranovi, Goran ; Tveit, Anna ; Junker, Rune Gronborg ; Ebrahimy, Razgar.
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19. Probabilistic solar power forecasting based on weather scenario generation. (2020). Sun, Mucun ; Zhang, Jie ; Feng, Cong.
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20. Deep Learning Models for Long-Term Solar Radiation Forecasting Considering Microgrid Installation: A Comparative Study. (2019). Hong, Sugwon ; Lee, Seung-Jae ; Aslam, Muhammad ; Kim, Hyung-Seung.
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21. Day Ahead Hourly Global Horizontal Irradiance Forecasting—Application to South African Data. (2019). Sigauke, Caston ; Mulaudzi, Sophie ; Mpfumali, Phathutshedzo ; Bere, Alphonce.
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22. Operational solar forecasting for the real-time market. (2019). Kleissl, Jan ; Wu, Elynn ; Yang, Dazhi.
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23. Ensemble spatiotemporal forecasting of solar irradiation using variational Bayesian convolutional gate recurrent unit network. (2019). Liu, Yongqi ; Yu, Xiang ; Pei, Shaoqian ; Zhou, Jianzhong ; Qin, Hui ; Wang, Chao ; Jiang, Zhiqiang ; Zhang, Zhendong.
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24. Wind speed prediction method using Shared Weight Long Short-Term Memory Network and Gaussian Process Regression. (2019). Yin, Xingli ; Yu, Xiang ; Ye, Lei ; Li, Jie ; Qin, Hui ; Wang, Chao ; Zhang, Zhendong ; Liu, Yongqi.
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25. Mid-to-long term wind and photovoltaic power generation prediction based on copula function and long short term memory network. (2019). Wang, Zheng ; Liu, Yong-Qian ; Qiao, Yan-Hui ; Han, Shuang ; Yan, Jie.
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26. Quantile Regression Post-Processing of Weather Forecast for Short-Term Solar Power Probabilistic Forecasting. (2018). Marrocu, Marino ; Massidda, Luca.
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27. How trust can drive forward the user acceptance to the technology? In-vehicle technology for autonomous vehicle. (2018). , Shahrina ; Adnan, Nadia ; Ali, Murad ; Bin, Mohamad Ariff.
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28. Review on probabilistic forecasting of photovoltaic power production and electricity consumption. (2018). Widen, J ; Munkhammar, J ; van der Meer, D W.
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30. Assessment of machine learning techniques for deterministic and probabilistic intra-hour solar forecasts. (2018). Lauret, Philippe ; David, Mathieu.
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31. Stochastic optimal scheduling of distributed energy resources with renewables considering economic and environmental aspects. (2018). Siano, P ; Shafie-Khah, M ; di Somma, M ; Graditi, G ; Heydarian-Forushani, E.
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33. Comparison of intraday probabilistic forecasting of solar irradiance using only endogenous data. (2018). Lauret, Philippe ; Luis, Mazorra Aguiar ; David, Mathieu.
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34. Charting the course: A possible route to a fully renewable Swiss power system. (2018). Bartlett, Stuart ; Manso, Pedro ; Lehning, Michael ; Dujardin, Jerome ; Kruyt, Bert ; Kahl, Annelen.
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35. Wind power field reconstruction from a reduced set of representative measuring points. (2018). Salcedo-Sanz, S ; Garcia-Herrera, R ; Alexandre, E ; Camacho-Gomez, C ; Aybar-Ruiz, A.
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36. Missing value imputation for short to mid-term horizontal solar irradiance data. (2018). Renwick, Zoe ; Demirhan, Haydar.
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37. Estimate and characterize PV power at demand-side hybrid system. (2018). Wu, Zhou ; Xia, Xiaohua ; Li, Qian.
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38. Large-scale rooftop solar photovoltaic technical potential estimation using Random Forests. (2018). Mohajeri, Nahid ; Scartezzini, Jean-Louis ; Assouline, Dan.
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39. Iterative multi-task learning for time-series modeling of solar panel PV outputs. (2018). Zhang, XI ; Shireen, Tahasin ; Li, Mingyang ; Wang, Hui ; Shao, Chenhui.
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40. Probabilistic Solar Forecasting Using Quantile Regression Models. (2017). Lauret, Philippe ; David, Mathieu.
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41. Short-term photovoltaic power forecasting using Artificial Neural Networks and an Analog Ensemble. (2017). Alessandrini, Stefano ; delle Monache, Luca ; Clemente-Harding, Laura ; Cervone, Guido .
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43. Energy prediction using spatiotemporal pattern networks. (2017). Jiang, Zhanhong ; Sarkar, Soumik ; Henze, Gregor P ; Liu, Chao ; Akintayo, Adedotun.
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44. Comparative analysis of data-driven methods online and offline trained to the forecasting of grid-connected photovoltaic plant production. (2017). Ferlito, S ; Graditi, G ; Adinolfi, G.
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46. Using ensemble weather predictions in district heating operation and load forecasting. (2017). Dahl, Magnus ; Andresen, Gorm B ; Brun, Adam.
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49. Generation and evaluation of space–time trajectories of photovoltaic power. (2016). Pinson, Pierre ; Gooi, Hoay Beng ; Golestaneh, Faranak .
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