An investigation of photovoltaic power forecasting in buildings considering shadow effects: Modeling approach and SHAP analysis

The power generation of distributed photovoltaic (PV) systems often suffers interference due to shadows cast by surrounding buildings. To improve the accuracy of PV power forecasts, this paper presents a PV power prediction method that takes shadow effects into consideration. Firstly, a convenient P...

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Veröffentlicht in:	Renewable energy Jg. 245; S. 122821
Hauptverfasser:	Fu, Jiaqian, Sun, Yuying, Li, Yunhe, Wang, Wei, Wei, Wenzhe, Ren, Jinyang, Han, Shulun, Di, Haoran
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.06.2025
Schlagworte:	algorithms ambient temperature China Convolutional deep neural networks Photovoltaic power power generation Power prediction prediction relative humidity Shadow effect SHAP analysis solar collectors solar energy solar radiation China Power prediction SHAP analysis Photovoltaic power Shadow effect Convolutional deep neural networks
ISSN:	0960-1481
Online-Zugang:	Volltext
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