1. Detection of Photovoltaic Arrays in High-Spatial-Resolution Remote Sensing Images Using a Weight-Adaptive YOLO Model. (2025). Wang, Jiayun ; Qu, Zeng ; Yu, Hua ; Li, Jinsong ; Meng, Xiaokai ; Lu, Zhumao.
   In: Energies.
   RePEc:gam:jeners:v:18:y:2025:i:8:p:1916-:d:1631364.

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2. Joint-task learning framework with scale adaptive and position guidance modules for improved household rooftop photovoltaic segmentation in remote sensing image. (2025). Lu, Ning ; Li, Liang ; Qin, Jun.
   In: Applied Energy.
   RePEc:eee:appene:v:377:y:2025:i:pb:s0306261924019044.

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3. Development assessment of regional rooftop photovoltaics based on remote sensing and deep learning. (2024). Tan, Zekun ; Tian, Yajun ; Zhang, Xiaoqing ; Qi, Qingqing ; Tao, Kejun ; Zhao, Jinghao.
   In: Applied Energy.
   RePEc:eee:appene:v:375:y:2024:i:c:s0306261924015551.

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4. Remote-sensing extraction and carbon emission reduction benefit assessment for centralized photovoltaic power plants in Agrivoltaic systems. (2024). Chen, Weizhen ; Li, Penghan ; Xie, Lijian ; Deng, Jinsong ; Huang, Chenhao ; Wu, Yixuan ; Lin, YI ; Yang, WU.
   In: Applied Energy.
   RePEc:eee:appene:v:370:y:2024:i:c:s0306261924009681.

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5. Exploration of determinants underlying regional disparity in rooftop photovoltaic adoption: A case study in Nagoya, Japan. (2024). Huang, Xiaoxun ; Dem, Phub ; Tao, Linwei ; Hayashi, Kiichiro ; Shiraki, Hiroto.
   In: Applied Energy.
   RePEc:eee:appene:v:367:y:2024:i:c:s0306261924008523.

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6. Automated detection and tracking of photovoltaic modules from 3D remote sensing data. (2024). Jurado, Juan Manuel ; Ramos, Isabel M ; Jurado-Rodriguez, David ; Cardoso, Andressa ; Lopez, Alfonso.
   In: Applied Energy.
   RePEc:eee:appene:v:367:y:2024:i:c:s0306261924006251.

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7. PV Identifier: Extraction of small-scale distributed photovoltaics in complex environments from high spatial resolution remote sensing images. (2024). Lu, Ning ; Li, Liang ; Qin, Jun.
   In: Applied Energy.
   RePEc:eee:appene:v:365:y:2024:i:c:s0306261924006949.

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8. A New QFD-CE Method for Considering the Concept of Sustainable Development and Circular Economy. (2023). Siwiec, Dominika ; Pacana, Andrzej ; Gazda, Andrzej.
   In: Energies.
   RePEc:gam:jeners:v:16:y:2023:i:5:p:2474-:d:1088284.

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9. Advances and prospects on estimating solar photovoltaic installation capacity and potential based on satellite and aerial images. (2023). Xiao, Yimin ; Chen, Xie ; Yu, Jinghua ; Deng, Jie ; Fan, Jianhua ; Mao, Hongzhi ; Tian, Zhiyong ; Luo, Yongqiang.
   In: Renewable and Sustainable Energy Reviews.
   RePEc:eee:rensus:v:179:y:2023:i:c:s1364032123001326.

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10. Remote sensing of photovoltaic scenarios: Techniques, applications and future directions. (2023). Zhang, Zhengjia ; Liu, Zhengguang ; Chen, QI ; Zhou, Chao ; Guo, Zhiling.
    In: Applied Energy.
    RePEc:eee:appene:v:333:y:2023:i:c:s0306261922018360.

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11. Universal Model to Predict Expected Direction of Products Quality Improvement. (2022). Ostasz, Grzegorz ; Siwiec, Dominika ; Pacana, Andrzej.
    In: Energies.
    RePEc:gam:jeners:v:15:y:2022:i:5:p:1751-:d:759624.

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12. Model to Predict Quality of Photovoltaic Panels Considering Customers’ Expectations. (2022). Siwiec, Dominika ; Pacana, Andrzej.
    In: Energies.
    RePEc:gam:jeners:v:15:y:2022:i:3:p:1101-:d:740706.

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13. Model to Determine the Best Modifications of Products with Consideration Customers’ Expectations. (2022). Ostasz, Grzegorz ; Siwiec, Dominika ; Pacana, Andrzej.
    In: Energies.
    RePEc:gam:jeners:v:15:y:2022:i:21:p:8102-:d:959008.

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14. GIS and Remote Sensing for Renewable Energy Assessment and Maps. (2021). Nezhad, Meysam Majidi ; Nastasi, Benedetto.
    In: Energies.
    RePEc:gam:jeners:v:15:y:2021:i:1:p:14-:d:707486.

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15. Model of Choice Photovoltaic Panels Considering Customers’ Expectations. (2021). Siwiec, Dominika ; Pacana, Andrzej.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:18:p:5977-:d:639611.

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16. Remote Sensing for Monitoring Photovoltaic Solar Plants in Brazil Using Deep Semantic Segmentation. (2021). Trancoso, Roberto Arnaldo ; Guimares, Renato Fontes ; Ferreira, Osmar Luiz ; de Carvalho, Osmar Abilio ; Coelho, Marcus Vinicius ; Hirata, Issao ; Vilarinho, Felipe ; de Albuquerque, Anesmar Olino ; Orlandi, Alex Gois.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:10:p:2960-:d:558495.

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1. Cloud Cover Forecast Based on Correlation Analysis on Satellite Images for Short-Term Photovoltaic Power Forecasting. (2022). Son, Yongju ; Yoon, Yeunggurl ; Choi, Sungyun.
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2. Parameter Evaluation in Motion Estimation for Forecasting Multiple Photovoltaic Power Generation. (2022). Kameda, Yusuke ; Kure, Taiki ; Kondoh, Junji ; Yamamoto, Hiroki ; Tsuchiya, Haruka Danil ; Kodaira, Daisuke.
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3. Advanced Forecasting Methods of 5-Minute Power Generation in a PV System for Microgrid Operation Control. (2022). Kapler, Piotr ; Piotrowski, Pawe ; Parol, Mirosaw ; Fetliski, Bartosz.
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10. Time series forecasting for hourly photovoltaic power using conditional generative adversarial network and Bi-LSTM. (2022). Tai, Yonghang ; Huang, Xiaoqiao ; Liu, Wuming ; Shi, Junsheng ; Chen, Zaiqing.
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13. Using deep learning and meteorological parameters to forecast the photovoltaic generators intra-hour output power interval for smart grid control. (2022). Vasquez, Juan C ; Guerrero, Josep M ; Rodriguez, Fermin ; Galarza, Ainhoa.
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14. Probability density forecasts for natural gas demand in China: Do mixed-frequency dynamic factors matter?. (2022). Zhao, Zhongchao ; Ding, Lili ; Wang, Lei.
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15. Hour-ahead photovoltaic generation forecasting method based on machine learning and multi objective optimization algorithm. (2022). Li, Zhiwu ; Zhou, Yilin ; Wang, Jianzhou.
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16. An interpretable probabilistic model for short-term solar power forecasting using natural gradient boosting. (2022). Lens, Hendrik ; Mitrentsis, Georgios.
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17. Novel machine learning approach for solar photovoltaic energy output forecast using extra-terrestrial solar irradiance. (2022). Cai, Zuansi ; Fjelkestam, Cornelia A.
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18. Hybrid Forecasting Methodology for Wind Power-Photovoltaic-Concentrating Solar Power Generation Clustered Renewable Energy Systems. (2021). Zheng, Zixuan ; Xiao, Xianyong ; Pang, Simian ; Xu, Lanlan ; Luo, Fan.
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19. Comparison and Explanation of Forecasting Algorithms for Energy Time Series. (2021). Zhang, Yuyi ; Liu, Xiuxiu ; Ma, Ruimin ; Petrosian, Ovanes ; Krinkin, Kirill.
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20. Hour-Ahead Photovoltaic Output Forecasting Using Wavelet-ANFIS. (2021). Chang, Yu-Ming ; Tan, Shih-Wei ; Ouedraogo, Faouzi Brice ; Larasati, Devita Ayu ; Chen, Chao-Rong.
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21. A Probabilistic Ensemble Prediction Method for PV Power in the Nonstationary Period. (2021). An, Yuan ; Shi, Xiaoyu ; Jia, Rong ; Huang, Qiang ; Zhang, Kai ; Dang, Kaikai.
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22. Exploitation of a New Short-Term Multimodel Photovoltaic Power Forecasting Method in the Very Short-Term Horizon to Derive a Multi-Time Scale Forecasting System. (2021). Collino, Elena ; Ronzio, Dario.
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23. Improving Forecast Reliability for Geographically Distributed Photovoltaic Generations. (2021). Kure, Taiki ; Tsukazaki, Kazuki ; Kondoh, Junji ; Kodaira, Daisuke.
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24. Short-Term Deterministic Solar Irradiance Forecasting Considering a Heuristics-Based, Operational Approach. (2021). Escobar, Rodrigo ; Boland, John ; Castillejo-Cuberos, Armando.
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25. Prediction of Solar Power Using Near-Real Time Satellite Data. (2021). Kay, Merlinde ; Prasad, Abhnil Amtesh.
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26. Probabilistic Forecasting of Wind and Solar Farm Output. (2021). Farah, Sleiman ; Boland, John.
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27. A Comparison of the Performance of Supervised Learning Algorithms for Solar Power Prediction. (2021). Gutierrez, Leidy ; Patio, Julian ; Duque-Grisales, Eduardo.
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28. 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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29. Progress in full spectrum solar energy utilization by spectral beam splitting hybrid PV/T system. (2021). Cheng, Ziming ; Shuai, Yong ; Yang, Luwei ; Liang, Huaxu ; Tan, Heping ; Wang, Fuqiang.
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30. State-of-the-art short-term electricity market operation with solar generation: A review. (2021). Wang, Jessie ; Li, Z ; Fang, X ; Yin, S.
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31. Ultra-short-term exogenous forecasting of photovoltaic power production using genetically optimized non-linear auto-regressive recurrent neural networks. (2021). Nwokolo, Samuel Chukwujindu ; Bailek, Nadjem ; Hassan, Muhammed A ; Bouchouicha, Kada.
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32. Hybrid deep neural model for hourly solar irradiance forecasting. (2021). Huang, Xiaoqiao ; Liu, Wuming ; Zhang, Jun ; Shi, Junsheng ; Gao, Bixuan ; Chen, Zaiqing ; Tai, Yonghang.
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33. Application of data-based solar field models to optimal generation scheduling in concentrating solar power plants. (2021). Vasallo, Manuel Jesus ; Gegundez, Manuel Emilio ; Cojocaru, Emilian Gelu ; Marin, Diego.
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34. Day-ahead hourly photovoltaic power forecasting using attention-based CNN-LSTM neural network embedded with multiple relevant and target variables prediction pattern. (2021). Qian, Zheng ; Pei, Yan ; Qu, Jiaqi.
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35. Stochastic optimization model for the short-term joint operation of photovoltaic power and hydropower plants based on chance-constrained programming. (2021). Liu, Zhe ; Wu, Zening ; Wang, Xinqi ; Yuan, Wenlin ; Cheng, Chuntian ; Su, Chengguo.
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36. Probability density forecasts for steam coal prices in China: The role of high-frequency factors. (2021). Zhao, Zhongchao ; Han, Meng ; Ding, Lili.
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37. Combining CFD and artificial neural network techniques to predict the thermal performance of all-glass straight evacuated tube solar collector. (2021). Lund, Peter D ; Wang, Jun ; Du, Bin.
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38. Probabilistic real-time deep-water natural gas hydrate dispersion modeling by using a novel hybrid deep learning approach. (2021). Zhu, Yuan ; Li, Junjie ; Shi, Jihao ; Chen, Guoming ; Yang, Dongdong ; Usmani, Asif Sohail.
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39. SolarNet: A hybrid reliable model based on convolutional neural network and variational mode decomposition for hourly photovoltaic power forecasting. (2021). Korkmaz, Deniz.
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40. Adjusted combination of moving averages: A forecasting system for medium-term solar irradiance. (2021). Trapero, Juan R ; Pedregal, Diego J.
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41. Deep learning based solar radiation micro forecast by fusion of infrared cloud images and radiation data. (2021). Ajith, Meenu ; Martinez-Ramon, Manel.
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42. Lifetime improvement for wind power generation system based on optimal effectiveness of thermal management. (2021). Du, Xiong ; Zhang, Jun ; Qian, Cheng.
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43. Short-term solar power forecasting: Investigating the ability of deep learning models to capture low-level utility-scale Photovoltaic system behaviour. (2021). Strauss, J M ; Rix, A J ; du Plessis, A A.
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44. Extensive comparison of physical models for photovoltaic power forecasting. (2021). Mayer, Martin Janos ; Grof, Gyula.
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45. What drives the accuracy of PV output forecasts?. (2021). Nguyen, Thi Ngoc ; Musgens, Felix.
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46. Combined Multi-Layer Feature Fusion and Edge Detection Method for Distributed Photovoltaic Power Station Identification. (2020). Deng, Yupeng ; Jie, Yongshi ; Zhang, YI ; Chen, Jing ; Yue, Anzhi.
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47. Reliability Predictors for Solar Irradiance Satellite-Based Forecast. (2020). Cros, Sylvain ; Haeffelin, Martial ; Badosa, Jordi ; Szantai, Andre.
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48. Impacts of Renewable Energy Resources on Effectiveness of Grid-Integrated Systems: Succinct Review of Current Challenges and Potential Solution Strategies. (2020). Tola, Vittorio ; Petrollese, Mario ; Oyekale, Joseph ; Cau, Giorgio.
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49. Integration of Electric Vehicles in the Distribution Network: A Review of PV Based Electric Vehicle Modelling. (2020). Lie, Tek Tjing ; Zamora, Ramon ; Mohammad, Asaad.
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50. 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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