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2. Predictive Analysis of Carbon Emissions in China’s Construction Industry Based on GIOWA Model. (2025). Zhang, Baiyang ; Bao, Zhiheng ; Hu, Tianyue ; Gao, Xinnan.
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1. Strategies of a Wind–Solar–Storage System in Jiangxi Province Using the LEAP–NEMO Framework for Achieving Carbon Peaking Goals. (2025). Wattana, Supannika ; Lei, Mingze ; Chen, Tao ; Yang, Caixia ; Xiao, Yao.
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2. Advances in Modeling and Optimization of Intelligent Power Systems Integrating Renewable Energy in the Industrial Sector: A Multi-Perspective Review. (2025). Yuan, Yuxing ; Du, Tao ; Cao, Hang ; Yan, SU ; Zhang, Lei.
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3. Short-term photovoltaic power prediction based on RF-SGMD-GWO-BiLSTM hybrid models. (2025). Luo, Yuman ; Yang, Shaomei.
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   RePEc:eee:energy:v:316:y:2025:i:c:s0360544225001872.

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4. A Comparative Study of AI Methods on Renewable Energy Prediction for Smart Grids: Case of Turkey. (2024). Oyucu, Saadin ; Guler, Merve ; Guerrero, Josep M ; Unsal, Derya Betul ; Aksoz, Ahmet.
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5. A Comprehensive Review of the Current Status of Smart Grid Technologies for Renewable Energies Integration and Future Trends: The Role of Machine Learning and Energy Storage Systems. (2024). Kiasari, Mahmoud ; Ghaffari, Mahdi ; Aly, Hamed H.
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6. A novel temporal–spatial graph neural network for wind power forecasting considering blockage effects. (2024). Cheng, XU ; Liu, Xiufeng ; Wang, Renfang ; Zhang, Liang ; Shi, Kaikai ; Qiu, Hong.
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7. A novel adaptively combined model based on induced ordered weighted averaging for wind power forecasting. (2024). Zhang, Ning ; Liu, Mingyang ; Ye, Lin ; Di, Jingyi ; Yang, Jianbin ; Wang, Cheng ; Gao, ZE ; Lu, Peng.
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8. Forecast-based stochastic optimization for a load powered by wave energy. (2024). Dillon, Trent ; Lawson, Michael ; Polagye, Brian ; Maurer, Benjamin.
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9. Bilinear-DRTFT: Uncertainty prediction in electricity load considering multiple demand responses. (2024). Sun, Chuanwang ; Zhao, Zhengtang ; Li, Qianwen ; Xu, Mengjie.
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10. Forecasting electricity production from various energy sources in Türkiye: A predictive analysis of time series, deep learning, and hybrid models. (2024). Akgun, Omer Burak ; Sen, Mustafa ; Gulay, Emrah.
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11. From consumer to prosumer: A model-based analysis of costs and benefits of grid-connected residential PV-battery systems. (2024). Benalcazar, Pablo ; Kalka, Maciej ; Kamiski, Jacek.
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12. Probabilistic solar power forecasting: An economic and technical evaluation of an optimal market bidding strategy. (2024). van Sark, W. G. H. J. M., ; Alskaif, T A ; Visser, L R ; Kleissl, J ; Khurram, A.
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13. Scenario-based ultra-short-term rolling optimal operation of a photovoltaic-energy storage system under forecast uncertainty. (2024). Pang, Xiulan ; Xu, Ximeng ; Li, Xiaofeng ; Zhang, Pengfei ; Liu, LU ; Ma, Chao.
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14. Wind Power Forecasting Based on WaveNet and Multitask Learning. (2023). Cao, Xinwei ; Li, Shuai ; Wang, Hao ; Peng, Chen ; Liao, Bolin.
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15. A Review of Energy Management Systems and Organizational Structures of Prosumers. (2023). Miljenovi, Nemanja ; Nidarec, Matej ; Kneevi, Goran ; Ljivac, Damir ; Sumper, Andreas.
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16. A Review on Modeling Variable Renewable Energy: Complementarity and Spatial–Temporal Dependence. (2023). Cyrino, Fernando Luiz ; Marques, Andre Luis ; Iung, Anderson Mitterhofer.
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17. Consumption–Production Profile Categorization in Energy Communities. (2023). Rozas, Wolfram ; Pastor-Vargas, Rafael ; Carpio, Jose ; Garcia-Vico, Angel Miguel.
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18. An Overview of Supervised Machine Learning Approaches for Applications in Active Distribution Networks. (2023). Radhoush, Sepideh ; Nehrir, Hashem ; Whitaker, Bradley M.
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19. Short-Term Load Forecasting Models: A Review of Challenges, Progress, and the Road Ahead. (2023). Leonowicz, Zbigniew ; Shahzad, Sulman ; Akhtar, Saima ; Gono, Radomir ; Jasiski, Micha ; Kilic, Heybet ; Ullah, Hafiz Sami ; Zaheer, Asad.
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20. Comparison of statistical and optimization models for projecting future PV installations at a sub-national scale. (2023). Wen, Xin ; Heinisch, Verena ; Muller, Jonas ; Sasse, Jan-Philipp ; Trutnevyte, Evelina.
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21. Short-term photovoltaic power point-interval forecasting based on double-layer decomposition and WOA-BiLSTM-Attention and considering weather classification. (2023). Du, Ruoyun ; Yu, Min ; Sun, Lijie ; Wang, Keke ; Niu, Dongxiao.
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22. Renewable energy management in smart home environment via forecast embedded scheduling based on Recurrent Trend Predictive Neural Network. (2023). Opur, Onur ; Nakip, Mert ; Biyik, Emrah ; Guzeli, Cuneyt.
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23. Short-term electricity load forecasting—A systematic approach from system level to secondary substations. (2023). Madeira, Sara C ; Pinheiro, Marco G ; Francisco, Alexandre P.
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24. A Hybrid Algorithm for Short-Term Wind Power Prediction. (2022). Xiong, Zhenhua ; Zhuo, Yixin ; Chen, Yan ; Huang, Kui ; Ban, Guihua.
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25. Sustainable power systems operations under renewable energy induced disjunctive uncertainties via machine learning-based robust optimization. (2022). Zhao, Ning ; You, Fengqi.
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26. A review of behind-the-meter solar forecasting. (2022). Doubleday, Kate ; Feng, Cong ; Erdener, Burcin Cakir ; Hodge, Bri-Mathias ; Florita, Anthony.
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27. An overview of the challenges of solar power integration in isolated industrial microgrids with reliability constraints. (2022). Schuhler, Thierry ; Polleux, Louis ; Sandoval-Moreno, John ; Marmorat, Jean-Paul ; Guerassimoff, Gilles.
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28. Evaluation of opaque deep-learning solar power forecast models towards power-grid applications. (2022). Wei, Zhinong ; Cheng, Lilin ; Zang, Haixiang ; Sun, Guoqiang ; Zhang, Fengchun.
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29. Towards the applicability of solar nowcasting: A practice on predictive PV power ramp-rate control. (2022). Du, Yang ; Chen, Xiaoyang ; Fang, Lurui ; Yan, KE ; Lim, Eng Gee.
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30. Performance evaluation of ANFIS and RSM modeling in predicting biogas and methane yields from Arachis hypogea shells pretreated with size reduction. (2022). Ogunkunle, Oyetola ; Adeleke, Oluwatobi ; Ahmed, Noor A ; Olatunji, Kehinde O ; Madyira, Daniel M ; Adebayo, Ademola O.
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31. Examining wind energy deployment pathways in complex macro-economic and political settings using a fuzzy cognitive map-based method. (2022). Zare, Sara Ghaboulian ; Stewart, Rodney A ; Alipour, Mohammad ; Hafezi, Mehdi ; Rahman, Anisur.
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32. Optimization-driven uncertainty forecasting: Application to day-ahead commitment with renewable energy resources. (2022). Kwon, Soongeol ; Karimi, Sajad.
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33. Sizing ramping reserve using probabilistic solar forecasts: A data-driven method. (2022). Zhang, Jie ; Spyrou, Evangelia ; Feng, Cong ; Siebenschuh, Carlo ; Li, Binghui ; Hobbs, Benjamin F ; Krishnan, Venkat.
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34. Multi-Input Nonlinear Programming Based Deterministic Optimization Framework for Evaluating Microgrids with Optimal Renewable-Storage Energy Mix. (2021). Alhumaid, Yousef ; Khalid, Muhammad ; Khan, Khalid ; Alismail, Fahad.
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35. Improving Wind Power Forecasts: Combination through Multivariate Dimension Reduction Techniques. (2021). Poncela, Pilar ; Poncela-Blanco, Marta.
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36. Prediction of Solar Power Using Near-Real Time Satellite Data. (2021). Kay, Merlinde ; Prasad, Abhnil Amtesh.
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37. A Comparative Study of Machine Learning-Based Methods for Global Horizontal Irradiance Forecasting. (2021). Thil, Stephane ; Grieu, Stephane ; Gbemou, Shab ; Eynard, Julien ; Guillot, Emmanuel.
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38. Applications for solar irradiance nowcasting in the control of microgrids: A review. (2021). Blum, Niklas ; Moghbel, Moayed ; Shoeb, Md Asaduzzaman ; Calais, Martina ; Shafiullah, G M ; Nouri, Bijan ; Samu, Remember.
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39. Optimal energy bidding for renewable plants: A practical application to an actual wind farm in Spain. (2021). Payan, Manuel Burgos ; Endemao-Ventura, Lazaro ; Roldan, Juan Manuel ; Riquelme, Jesus Manuel ; Gonzalez, Javier Serrano.
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40. Ultra-short-term combined prediction approach based on kernel function switch mechanism. (2021). Zhao, Yongning ; Qu, Ying ; Zhong, Wuzhi ; Lu, Peng ; Ye, Lin ; Zhai, Bingxu ; Tang, Yong.
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41. Short-term wind power forecasting using the hybrid model of improved variational mode decomposition and Correntropy Long Short -term memory neural network. (2021). Tian, Xuan ; Ma, Wentao ; Fang, Shuai ; Wang, Peng ; Duan, Jiandong ; Liu, Haofan ; Cheng, Yulin ; Chang, Ying.
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42. A review of wind speed and wind power forecasting with deep neural networks. (2021). Wang, Yun ; Zou, Runmin ; Liu, Qianyi ; Zhang, Lingjun.
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43. A Characterization of Metrics for Comparing Satellite-Based and Ground-Measured Global Horizontal Irradiance Data: A Principal Component Analysis Application. (2020). Bueso, Maria C ; Paredes-Parra, Jose Miguel ; Mateo-Aroca, Antonio ; Molina-Garcia, Angel.
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44. Review of optimal methods and algorithms for sizing energy storage systems to achieve decarbonization in microgrid applications. (2020). Dong, Z Y ; Begum, R A ; Ker, Pin Jern ; Faisal, M ; Hannan, M A ; Zhang, C.
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45. A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization. (2020). Mishra, Y ; Sreeram, V ; Ahmed, R ; Arif, M D.
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46. Assessment of critical parameters for artificial neural networks based short-term wind generation forecasting. (2020). Sewdien, V N ; Preece, R ; van der Meijden, M ; Rueda, J L ; Rakhshani, E.
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47. Impact of 15-day energy forecasts on the hydro-thermal scheduling of a future Nordic power system. (2020). Rasku, Topi ; Kiviluoma, Juha ; Miettinen, Jari ; Rinne, Erkka.
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48. 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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49. 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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50. Wind power forecast based on improved Long Short Term Memory network. (2019). Gao, Zhiyu ; Zhang, Rongchang ; Jing, Huitian.
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