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Taxonomy research of artificial intelligence for deterministic solar power forecasting

... for the unknown conditions in the future. So far, artificial intelligence (AI) algorithms such as machine learning and deep learning have been widely-reported with competitive prediction performance because they can reveal the invariant structure and nonlinear features in solar data. However, these reports have not been fully reviewed. Accordingly, this paper provides a taxonomy research of the existing solar power forecasting models based on AI algorithms. Taxonomy is a process of systematically ...

Теги: artificial intelligence , photovoltaic power generation , solar power forecast , taxonomy , deep learning , solar energy , stochastic systems , taxonomies , application scenario , electrical energy systems , energy prediction , future research directions , nonlinear
Раздел: ИСЭМ СО РАН


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