1. Prediction of Short-Term Solar Irradiance Using the ProbSparse Attention Mechanism for a Sustainable Energy Development Strategy. (2025). Zhuang, Zhenyuan ; Wang, Huaizhi ; Yu, Cilong.
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   RePEc:gam:jsusta:v:17:y:2025:i:3:p:1075-:d:1579123.

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2. Efficient Machine Learning-Based Prediction of Solar Irradiance Using Multi-Site Data. (2025). Chahine, Khaled ; Salman, Ola ; Allal, Zaid ; Noura, Hassan N.
   In: Future Internet.
   RePEc:gam:jftint:v:17:y:2025:i:8:p:336-:d:1711094.

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3. A WGAN-GP Approach for Data Imputation in Photovoltaic Power Prediction. (2025). Zhou, Dongguo ; Liang, Zhongwen ; Xie, Xinlin ; Gong, Dehuang ; Xuan, Lingfeng ; Liu, Zhu.
   In: Energies.
   RePEc:gam:jeners:v:18:y:2025:i:5:p:1042-:d:1596404.

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4. Global prediction of optimal solar panel tilt angles via machine learning. (2025). Dababseh, Raghad ; Jubran, Mayar ; Rinchi, Bilal ; Ayadi, Osama ; Al-Dahidi, Sameer.
   In: Applied Energy.
   RePEc:eee:appene:v:382:y:2025:i:c:s0306261925000522.

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5. TransPVP: A Transformer-Based Method for Ultra-Short-Term Photovoltaic Power Forecasting. (2024). Hu, Wenshan ; Xuan, Lingfeng ; Wang, Jinfeng ; Guo, Guowei ; He, Feiwu ; Zhong, Chaojie.
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   RePEc:gam:jeners:v:17:y:2024:i:17:p:4426-:d:1470752.

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6. Reconstructing 10-km-resolution direct normal irradiance dataset through a hybrid algorithm. (2024). Qin, Wenmin ; Wang, Lunche ; Wu, Jinyang ; Niu, Jiayun ; Gueymard, Christian A ; Zhou, Zhigao.
   In: Renewable and Sustainable Energy Reviews.
   RePEc:eee:rensus:v:204:y:2024:i:c:s1364032124005318.

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7. Spectra measurement and clustering analysis of global horizontal irradiance for solar energy application. (2024). Zhang, Yanyun ; Xue, Peng ; Peng, Jinqing ; Bai, Gongxun ; Li, Bojia ; Zhao, Yifan.
   In: Renewable Energy.
   RePEc:eee:renene:v:222:y:2024:i:c:s0960148123017287.

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8. Dynamic response characteristics of molten salt solar power tower plant under rapid load changes. (2024). Jiang, Kaijun ; Tian, Ziqian ; Zhang, Qiang ; Yu, Gang ; Ren, Yunxiu ; Du, Xiaoze ; Wang, Qinghua.
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   RePEc:eee:energy:v:313:y:2024:i:c:s0360544224037769.

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9. A geographic multi-scale machine learning framework for predicting solar irradiation on tilted surfaces. (2024). Al-Dahidi, Sameer ; Alrbai, Mohammad ; Ayadi, Osama ; Dababseh, Raghad ; Rinchi, Bilal.
   In: Energy.
   RePEc:eee:energy:v:313:y:2024:i:c:s036054422403545x.

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10. Factors and quantitative impact on electrical yield in fishery complementary photovoltaic power plant under different cloud cover conditions. (2024). Li, Zhenchao ; Chang, Rui ; Gao, Xiaoqing ; Xia, Xin ; Luo, Yong ; Liao, Zhouyi ; Shi, Wen ; Zheng, Junqing.
    In: Energy.
    RePEc:eee:energy:v:309:y:2024:i:c:s0360544224028548.

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11. A hybrid PV cluster power prediction model using BLS with GMCC and error correction via RVM considering an improved statistical upscaling technique. (2024). Feng, Xiaoyang ; Ma, Wentao ; Qiu, Lihong ; Duan, Jiandong ; Dai, Jiahui ; Chen, Badong ; Dong, Yuzhuo.
    In: Applied Energy.
    RePEc:eee:appene:v:359:y:2024:i:c:s0306261924001028.

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12. Forecasting and Uncertainty Analysis of Day-Ahead Photovoltaic Power Based on WT-CNN-BiLSTM-AM-GMM. (2023). Li, XI ; Yang, Xiaopeng ; Wang, Pengzhan ; Xu, Fengliang ; Gu, BO.
    In: Sustainability.
    RePEc:gam:jsusta:v:15:y:2023:i:8:p:6538-:d:1121748.

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13. Artificial Intelligence and Mathematical Models of Power Grids Driven by Renewable Energy Sources: A Survey. (2023). Andreadakis, Zacharias E ; Kumarasamy, Suresh ; Srinivasan, Sabarathinam ; Lind, Pedro G.
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    RePEc:gam:jeners:v:16:y:2023:i:14:p:5383-:d:1194276.

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14. Near-real-time estimation of global horizontal irradiance from Himawari-8 satellite data. (2023). Zhang, Zhaoyang ; Tan, Yunhui ; Wang, Quan.
    In: Renewable Energy.
    RePEc:eee:renene:v:215:y:2023:i:c:s096014812300900x.

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15. Intercomparison of the parameterized Linke turbidity factor in deriving global horizontal irradiance. (2023). , Pranda ; Lee, Hyunjin.
    In: Renewable Energy.
    RePEc:eee:renene:v:212:y:2023:i:c:p:285-298.

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16. Advances in Solar PV Systems; A Comprehensive Review of PV Performance, Influencing Factors, and Mitigation Techniques. (2022). Qureshi, Safian Ahmed ; Ahmed, Naveed ; Assadi, Mohsen ; Aslam, Adnan.
    In: Energies.
    RePEc:gam:jeners:v:15:y:2022:i:20:p:7595-:d:942440.

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17. Systematic Review on Impact of Different Irradiance Forecasting Techniques for Solar Energy Prediction. (2022). Vishnuram, Pradeep ; Sudharshan, Konduru ; Siva, Damodhara Venkata ; Naveen, C ; Nastasi, Benedetto.
    In: Energies.
    RePEc:gam:jeners:v:15:y:2022:i:17:p:6267-:d:900099.

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18. Benefits of physical and machine learning hybridization for photovoltaic power forecasting. (2022). Mayer, Martin Janos.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:168:y:2022:i:c:s1364032122006566.

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19. Performance Assessment of Global Horizontal Irradiance Models in All-Sky Conditions. (2021). Kamil, Raihan ; Lee, Hyunjin.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:23:p:7939-:d:688754.

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2. Implications of Machine Learning in the Generation of Renewable Energies in Latin America from a Globalized Vision: A Systematic Review. (2024). Plaza, Jonny Rafael ; Garca, Jess Enrique ; Hernandez-Palma, Hugo Gaspar ; Dotto, Guilherme Luiz ; Ramos, Claudete Gindri.
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24. Performance Assessment for Short-Term Water Demand Forecasting Models on Distinctive Water Uses in Korea. (2021). Yum, Kyung-Taek ; Jun, Kyung-Soo ; Han, Kuk-Heon ; Koo, Kang-Min ; Kim, Jung-Sik ; Lee, Gyumin.
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25. Deep-Learning Forecasting Method for Electric Power Load via Attention-Based Encoder-Decoder with Bayesian Optimization. (2021). Bai, Yu-Ting ; Jin, Xue-Bo ; Wang, Xiao-Yi ; Zheng, Wei-Zhen ; Su, Ting-Li ; Lin, Seng ; Kong, Jian-Lei.
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26. Day-Ahead Electric Load Forecast for a Ghanaian Health Facility Using Different Algorithms. (2021). Sawadogo, Windmanagda ; Schneiders, Thorsten ; Meilinger, Stefanie ; Rummeny, Silvan ; Chaaraoui, Samer ; Bebber, Matthias ; Kunstmann, Harald.
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27. Performance Assessment of Global Horizontal Irradiance Models in All-Sky Conditions. (2021). Kamil, Raihan ; Lee, Hyunjin.
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28. Optimized Charge Controller Schedule in Hybrid Solar-Battery Farms for Peak Load Reduction. (2021). Prava, Venkat ; Barta, Gergo ; Pasztor, Benedek.
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29. Method for Determining the Optimal Capacity of Energy Storage Systems with a Long-Term Forecast of Power Consumption. (2021). Senchilo, Nikita Dmitrievich ; Ustinov, Denis Anatolievich.
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30. Performance Evaluation of Forecasting Strategies for Electricity Consumption in Buildings. (2021). Fakhri, Youssef ; Hadri, Sarah ; el Arroussi, Mohamed ; Bakhouya, Mohamed ; Najib, Mehdi.
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31. Exploratory Data Analysis Based Short-Term Electrical Load Forecasting: A Comprehensive Analysis. (2021). Javed, Umar ; Husev, Oleksandr ; Shabbir, Noman ; Jawad, Muhammad ; Kutt, Lauri ; Ijaz, Khalid ; Ansari, Ejaz A.
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32. Solar Irradiance Forecast Based on Cloud Movement Prediction. (2021). Unde, Viktor ; Ban, Eljko ; Kuak, Danijel ; Radovan, Aleksander.
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33. A Forecast-Based Load Management Approach for Commercial Buildings Demonstrated on an Integration of BEV. (2021). Steens, Thomas ; Grottke, Matthias ; von Maydell, Karsten ; Telle, Jan-Simon ; di Modica, Gian-Luca ; Agert, Carsten ; Engel, Bernd ; Hanke, Benedikt.
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34. Artificial intelligence techniques for enabling Big Data services in distribution networks: A review. (2021). Barja-Martinez, Sara ; Villafafila-Robles, Roberto ; Lloret-Gallego, Pau ; Aragues-Pealba, Monica ; Munne-Collado, Ingrid ; Bullich-Massague, Eduard.
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35. Comparison of physical and machine learning models for estimating solar irradiance and photovoltaic power. (2021). , Yosca ; Tan, Sek F ; Lee, Hyun-Jin.
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36. Energy consumption prediction model with deep inception residual network inspiration and LSTM. (2021). Salam, Abdulwahed ; el Hibaoui, Abdelaaziz.
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37. A temporal distributed hybrid deep learning model for day-ahead distributed PV power forecasting. (2021). Sun, Yuanzhang ; Qu, Yinpeng ; Xu, Jian ; Liu, Dan.
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38. An improved self-organizing incremental neural network model for short-term time-series load prediction. (2021). Wong, Yee Wan ; Rajkumar, Rajprasad Kumar ; Chong, Lee Wai ; Begam, Kasim Mumtaj.
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39. Deep learning for load forecasting with smart meter data: Online Adaptive Recurrent Neural Network. (2021). Sharma, Vinay ; Fekri, Mohammad Navid ; Grolinger, Katarina ; Patel, Harsh.
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40. Electricity Consumption Forecasting Based on a Bidirectional Long-Short-Term Memory Artificial Neural Network. (2020). Petroanu, Dana-Mihaela ; Pirjan, Alexandru.
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41. A Comparative Analysis of Machine Learning Approaches for Short-/Long-Term Electricity Load Forecasting in Cyprus. (2020). Solyali, Davut.
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42. A Deep Neural Network-Assisted Approach to Enhance Short-Term Optimal Operational Scheduling of a Microgrid. (2020). Baysal, Mustafa ; Yaprakdal, Fatma ; Yilmaz, Berkay M ; Anvari-Moghaddam, Amjad.
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43. Energy Flexibility Prediction for Data Center Engagement in Demand Response Programs. (2020). Dadarlat, Vasile Teodor ; Cioara, Tudor ; Antal, Marcel ; Anghel, Ionut ; Salomie, Ioan ; Pop, Claudia ; Iancu, Bogdan ; Vesa, Andreea Valeria.
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44. Short-Term Load Forecasting of Microgrid via Hybrid Support Vector Regression and Long Short-Term Memory Algorithms. (2020). Zakeri, Sahar ; Shoaran, Maryam ; Mohammadi, Fazel ; Mohammadi-Ivatloo, Behnam ; Moradzadeh, Arash.
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45. Gated Recurrent Unit with Genetic Algorithm for Product Demand Forecasting in Supply Chain Management. (2020). Hwang, Seung-June ; Kim, Jongsoo ; Noh, Ji Seong ; Park, Hyun-Ji.
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46. Time Series Clustering of Electricity Demand for Industrial Areas on Smart Grid. (2020). Kim, Yunsun ; Son, Heung-Gu.
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47. Towards Assessing the Electricity Demand in Brazil: Data-Driven Analysis and Ensemble Learning Models. (2020). Casaca, Wallace ; Dias, Mauricio Araujo ; Colnago, Marilaine ; Leme, Joo Vitor.
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48. An Intelligent Model to Predict Energy Performances of Residential Buildings Based on Deep Neural Networks. (2020). Young, William A ; Younessinaki, Roohollah ; Weckman, Gary R ; Sadeghi, Azadeh.
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49. Multi-Sequence LSTM-RNN Deep Learning and Metaheuristics for Electric Load Forecasting. (2020). Bouktif, Salah ; Serhani, Mohamed Adel ; Ouni, Ali ; Fiaz, Ali.
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50. Applying Deep Learning to the Heat Production Planning Problem in a District Heating System. (2020). Yoon, Seok Mann ; Song, Sang Hwa ; Kim, Kwanho ; Lee, Jae Seung.
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51. A Review on Deep Learning Models for Forecasting Time Series Data of Solar Irradiance and Photovoltaic Power. (2020). Rajagukguk, Rial A ; Lee, Hyun-Jin.
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52. Forecasting Electricity Consumption in Commercial Buildings Using a Machine Learning Approach. (2020). Otto, Marc-Oliver ; Hwang, Junhwa ; Suh, Dongjun.
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    RePEc:gam:jeners:v:13:y:2020:i:22:p:5885-:d:443383.

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53. Optimal ESS Scheduling for Peak Shaving of Building Energy Using Accuracy-Enhanced Load Forecast. (2020). Kim, Jung-Su ; Hwang, Jin Sol ; Fitri, Ismi Rosyiana ; Song, Hwachang.
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54. Time Series Forecasting with Multi-Headed Attention-Based Deep Learning for Residential Energy Consumption. (2020). Cho, Sung-Bae ; Bu, Seok-Jun.
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55. Inter-Hour Forecast of Solar Radiation Based on the Structural Equation Model and Ensemble Model. (2020). Guo, Yiren ; Zhu, Tingting ; Wang, Cong ; Ni, Chao.
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56. AE-LSTM Based Deep Learning Model for Degradation Rate Influenced Energy Estimation of a PV System. (2020). Hong, Sugwon ; Lee, Seung-Jae ; Altaha, Mustafa Raed ; Aslam, Muhammad.
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57. A Study on the Development of Machine-Learning Based Load Transfer Detection Algorithm for Distribution Planning. (2020). Kim, Jun-Hyeok ; Lee, Byung-Sung.
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58. Hybrid genetic algorithm method for efficient and robust evaluation of remaining useful life of supercapacitors. (2020). Wang, Yanan ; Kang, LE ; Pang, Jinbo ; Peng, Fei ; Zhou, Yanting.
    In: Applied Energy.
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59. Short-term power prediction of photovoltaic power station based on long short-term memory-back-propagation. (2019). Kuang, Liang ; Zhu, Erxi ; Pi, Dechang ; Hua, Chi.
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60. Deep Long Short-Term Memory: A New Price and Load Forecasting Scheme for Big Data in Smart Cities. (2019). Wadud, Zahid ; Mujeeb, Sana ; Javaid, Nadeem ; Afzal, Muhammad Khalil ; Ilahi, Manzoor ; Ishmanov, Farruh.
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    RePEc:gam:jsusta:v:11:y:2019:i:4:p:987-:d:205948.

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61. Microgrid-Level Energy Management Approach Based on Short-Term Forecasting of Wind Speed and Solar Irradiance. (2019). Haider, Syed Irtaza ; Alhussein, Musaed ; Aurangzeb, Khursheed.
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62. Single and Multi-Sequence Deep Learning Models for Short and Medium Term Electric Load Forecasting. (2019). Bouktif, Salah ; Serhani, Mohamed Adel ; Ouni, Ali ; Fiaz, Ali.
    In: Energies.
    RePEc:gam:jeners:v:12:y:2019:i:1:p:149-:d:194483.

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63. Short-Term Load Forecasting for a Single Household Based on Convolution Neural Networks Using Data Augmentation. (2019). Wi, Young-Min ; Acharya, Shree Krishna ; Lee, Jaehee.
    In: Energies.
    RePEc:gam:jeners:v:12:y:2019:i:18:p:3560-:d:268046.

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64. Long-Term Demand Forecasting in a Scenario of Energy Transition. (2019). Sanchez-Duran, Rafael ; Barbancho, Julio ; Luque, Joaquin.
    In: Energies.
    RePEc:gam:jeners:v:12:y:2019:i:16:p:3095-:d:256899.

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65. Electric Vehicle Charging Load Forecasting: A Comparative Study of Deep Learning Approaches. (2019). Yang, Zhile ; Guo, Yuanjun ; Zhou, Yimin ; Wei, Yanjie ; Chang, Yan ; Feng, Shengzhong ; Mourshed, Monjur ; Zhu, Juncheng.
    In: Energies.
    RePEc:gam:jeners:v:12:y:2019:i:14:p:2692-:d:248158.

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66. District Heating Load Prediction Algorithm Based on Feature Fusion LSTM Model. (2019). Wang, Zhipan ; Pan, YU ; Lin, Tao ; Song, Jiancai ; Xue, Guixiang ; Qi, Chengying.
    In: Energies.
    RePEc:gam:jeners:v:12:y:2019:i:11:p:2122-:d:236771.

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67. A Deep Neural Network Model for Short-Term Load Forecast Based on Long Short-Term Memory Network and Convolutional Neural Network. (2018). Zhan, Panpan ; Ma, Jian ; Zhang, Chunhong ; Tian, Chujie.
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68. Deep Learning Based on Multi-Decomposition for Short-Term Load Forecasting. (2018). Shin, Yong-June ; Kim, Seon Hyeog ; Lee, Gyul ; Kwon, Gu-Young.
    In: Energies.
    RePEc:gam:jeners:v:11:y:2018:i:12:p:3433-:d:188862.

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69. Designing, Developing, and Implementing a Forecasting Method for the Produced and Consumed Electricity in the Case of Small Wind Farms Situated on Quite Complex Hilly Terrain. (2018). Carutasu, George ; Cruau, George ; Petroanu, Dana-Mihaela ; Pirjan, Alexandru.
    In: Energies.
    RePEc:gam:jeners:v:11:y:2018:i:10:p:2623-:d:173257.

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