Journal Article10.1016/J.ENERGY.2021.120026
A point prediction method based automatic machine learning for day-ahead power output of multi-region photovoltaic plants
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TL;DR: A combined method for day-ahead SPG prediction of multi-region photovoltaic (PV) plants and the SPG physical model is taken into account, indicating that the combined method provides acceptable accuracy and outperforms several baselines and other methods used for comparison.
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About: This article is published in Energy. The article was published on 15 May 2021. The article focuses on the topics: Photovoltaic system & Solar power.
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Comparison of machine learning methods for photovoltaic power forecasting based on numerical weather prediction
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A hybrid framework for forecasting power generation of multiple renewable energy sources
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A State-of-Art-Review on Machine-Learning Based Methods for PV
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