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2. Solar Photovoltaic Power Estimation Using Meta-Optimized Neural Networks. (2022). Demir, Funda ; Gumar, Ali Kamil.
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1. Assessing the potential impact of aerosol scenarios for rooftop PV regional deployment. (2025). Liu, Bingchun ; Zhao, Shunfan ; Zheng, Shize ; Zhang, Fukai ; Gao, XU ; Wang, Ying.
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   RePEc:eee:renene:v:246:y:2025:i:c:s0960148125005312.

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2. The value of solar forecasts and the cost of their errors: A review. (2024). Gandhi, Oktoviano ; Yagli, Gokhan Mert ; Srinivasan, Dipti ; Kumar, Dhivya Sampath ; Yang, Dazhi ; Rodriguez-Gallegos, Carlos D ; Zhang, Wenjie ; Reindl, Thomas.
   In: Renewable and Sustainable Energy Reviews.
   RePEc:eee:rensus:v:189:y:2024:i:pb:s1364032123007736.

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3. Cloud detection method using ground-based sky images based on clear sky library and superpixel local threshold. (2024). Yan, Zixuan ; Niu, Yinsen ; Lin, Xilong ; Zou, Lianglin ; Song, Jifeng.
   In: Renewable Energy.
   RePEc:eee:renene:v:226:y:2024:i:c:s0960148124005172.

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4. A novel structure adaptive grey seasonal model with data reorganization and its application in solar photovoltaic power generation prediction. (2024). Luo, Yongxian ; Wang, Yong ; Zhou, Ying ; Tang, Yanbing ; He, Xinbo ; Narayanan, Govindasami.
   In: Energy.
   RePEc:eee:energy:v:302:y:2024:i:c:s0360544224016062.

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5. Analysis and modeling of seasonal characteristics of renewable energy generation. (2023). Zhang, Ning ; Ji, Jie ; Jiang, Haiyang ; Li, Fuqiang ; Du, Ershun ; He, Boyu ; Wang, Peng.
   In: Renewable Energy.
   RePEc:eee:renene:v:219:y:2023:i:p1:s0960148123013290.

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6. Short-Term Forecasting of Energy Production for a Photovoltaic System Using a NARX-CVM Hybrid Model. (2022). Campos-Amezcua, Rafael ; Cadenas-Calderon, Erasmo ; Rangel-Heras, Eduardo ; Angeles-Camacho, Cesar.
   In: Energies.
   RePEc:gam:jeners:v:15:y:2022:i:8:p:2842-:d:793021.

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7. Review on Spatio-Temporal Solar Forecasting Methods Driven by In Situ Measurements or Their Combination with Satellite and Numerical Weather Prediction (NWP) Estimates. (2022). Amaro, Rodrigo ; Manso, Miguel Angel ; Cesar, Llinet Benavides ; Cira, Calimanut-Ionut.
   In: Energies.
   RePEc:gam:jeners:v:15:y:2022:i:12:p:4341-:d:838328.

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8. Coupling meteorological stations data and satellite data for prediction of global solar radiation with machine learning models. (2022). Zhao, Shuting ; Wu, Lifeng ; Qian, Jia ; Dong, Jianhua ; Wang, Han ; Tang, Zijun ; Zhang, Fucang ; Li, Zhijun ; Xiang, Youzhen ; Liu, Xiaoqiang.
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   RePEc:eee:renene:v:198:y:2022:i:c:p:1049-1064.

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9. Convolutional neural networks for intra-hour solar forecasting based on sky image sequences. (2022). Zhang, Wenqi ; Feng, Cong ; Hodge, Bri-Mathias.
   In: Applied Energy.
   RePEc:eee:appene:v:310:y:2022:i:c:s0306261921016639.

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10. Solar Photovoltaic Power Prediction Using Big Data Tools. (2021). Bae, Sungwoo ; Arias, Mariz B.
    In: Sustainability.
    RePEc:gam:jsusta:v:13:y:2021:i:24:p:13685-:d:699877.

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11. Short-Term Deterministic Solar Irradiance Forecasting Considering a Heuristics-Based, Operational Approach. (2021). Escobar, Rodrigo ; Boland, John ; Castillejo-Cuberos, Armando.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:18:p:6005-:d:640192.

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12. Prediction of Solar Power Using Near-Real Time Satellite Data. (2021). Kay, Merlinde ; Prasad, Abhnil Amtesh.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:18:p:5865-:d:636858.

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13. 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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    RePEc:eee:renene:v:171:y:2021:i:c:p:1041-1060.

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14. Photovoltaic power forecast based on satellite images considering effects of solar position. (2021). Si, Zhiyuan ; Yu, Yixiao ; Ding, Tingting ; Yang, Ming.
    In: Applied Energy.
    RePEc:eee:appene:v:302:y:2021:i:c:s0306261921008965.

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15. Direct Normal Irradiance Forecasting Using Multivariate Gated Recurrent Units. (2020). Chambers, Terrence Lynn ; Katragadda, Satya ; Gottumukkala, Raju ; Hosseini, Majid ; Wojtkiewicz, Jessica ; Maida, Anthony.
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    RePEc:gam:jeners:v:13:y:2020:i:15:p:3914-:d:392637.

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16. Multiple Site Intraday Solar Irradiance Forecasting by Machine Learning Algorithms: MGGP and MLP Neural Networks. (2020). Leva, Sonia ; Pimentel, Sergio Pires ; Mussetta, Marco ; de Paiva, Gabriel Mendona ; Marra, Enes Gonalves ; Alvarenga, Bernardo Pinheiro.
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    RePEc:gam:jeners:v:13:y:2020:i:11:p:3005-:d:370022.

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17. Enhanced Prediction of Solar Radiation Using NARX Models with Corrected Input Vectors. (2020). Campos-Amezcua, Rafael ; Tena, Jorge L ; Cadenas, Erasmo ; Rangel, Eduardo.
    In: Energies.
    RePEc:gam:jeners:v:13:y:2020:i:10:p:2576-:d:360189.

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18. Intra-day solar irradiation forecast using RLS filters and satellite images. (2020). Alonso-Suarez, Rodrigo ; Marchesoni-Acland, Franco.
    In: Renewable Energy.
    RePEc:eee:renene:v:161:y:2020:i:c:p:1140-1154.

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19. Short-Term Forecasts of DNI from an Integrated Forecasting System (ECMWF) for Optimized Operational Strategies of a Central Receiver System. (2019). Fasquelle, Thomas ; Salgado, Rui ; Conceio, Ricardo ; Canhoto, Paulo ; Collares-Pereira, Manuel ; Silva, Hugo G ; Lopes, Francis M.
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    RePEc:gam:jeners:v:12:y:2019:i:7:p:1368-:d:221263.

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20. Improving Prediction Intervals Using Measured Solar Power with a Multi-Objective Approach. (2019). Aler, Ricardo ; Valls, Jose M ; Huertas-Tato, Javier ; Galvan, Ines M.
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    RePEc:gam:jeners:v:12:y:2019:i:24:p:4713-:d:296358.

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21. Hour-Ahead Solar Irradiance Forecasting Using Multivariate Gated Recurrent Units. (2019). Chambers, Terrence Lynn ; Gottumukkala, Raju ; Hosseini, Matin ; Wojtkiewicz, Jessica.
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    RePEc:gam:jeners:v:12:y:2019:i:21:p:4055-:d:279903.

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22. Modelling Hourly Global Horizontal Irradiance from Satellite-Derived Datasets and Climate Variables as New Inputs with Artificial Neural Networks. (2019). Wheeler, James ; Balzter, Heiko ; Jarvis, Claire ; Ameen, Bikhtiyar.
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    RePEc:gam:jeners:v:12:y:2019:i:1:p:148-:d:194446.

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23. Forecasting mesoscale distribution of surface solar irradiation using a proposed hybrid approach combining satellite remote sensing and time series models. (2019). Rughooputh, Soonil ; Boojhawon, Ravindra ; Dhurmea, Kumar Ram ; Singh, Jay Rovisham.
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    RePEc:eee:rensus:v:104:y:2019:i:c:p:69-85.

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24. Impact of DNI forecasting on CSP tower plant power production. (2019). Polo, Jesus ; Ballestrin, Jesus ; Alonso-Montesinos, J ; Batlles, F J ; Portillo, C.
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    RePEc:eee:renene:v:138:y:2019:i:c:p:368-377.

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25. Method of identifying the lengths of equivalent clear-sky periods in the time series of DNI measurements based on generalized atmospheric turbidity. (2019). Han, Yang ; Li, Lun ; Liu, Hongda ; Lu, Fang.
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    RePEc:eee:renene:v:136:y:2019:i:c:p:179-192.

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26. Forecasting solar irradiance at short horizons: Frequency and time domain models. (2019). Reikard, Gordon ; Hansen, Clifford.
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    RePEc:eee:renene:v:135:y:2019:i:c:p:1270-1290.

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27. Operational solar forecasting for the real-time market. (2019). Kleissl, Jan ; Wu, Elynn ; Yang, Dazhi.
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    RePEc:eee:intfor:v:35:y:2019:i:4:p:1499-1519.

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28. Day-ahead spatiotemporal solar irradiation forecasting using frequency-based hybrid principal component analysis and neural network. (2019). He, Yin ; Hong, Ying-Yi ; Wen, Shuli ; Lan, Hai ; Zhang, Chi.
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    RePEc:eee:appene:v:247:y:2019:i:c:p:389-402.

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29. A new demand response algorithm for solar PV intermittency management. (2018). Kandasamy, Nandha Kumar ; Lim, May Lin ; Goh, Kwang Ping ; Sivaneasan, Balakrishnan.
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    RePEc:eee:appene:v:218:y:2018:i:c:p:36-45.

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