Short-term PV power prediction based on meteorological similarity days and SSA-BiLSTM

Li, Yikang; Huang, Wei; Lou, Keying; Zhang, Xizheng; Wan, Qin

doi:10.1016/j.sasc.2024.200084

Systems and Soft Computing

2024

DOI: 10.1016/j.sasc.2024.200084

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Short-term PV power prediction based on meteorological similarity days and SSA-BiLSTM

Yikang Li,

Wei Huang,

Keying Lou

et al.

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Cited by 9 publications

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Short-term PV power prediction based on meteorological similarity days and SSA-BiLSTM

Cited by 9 publications

References 6 publications

A coupled SWATPlus and BiLSTM tuning model for improved daily scale hydroclimate simulation in typical loess hilly areas of China

A coupled SWATPlus and BiLSTM tuning model for improved daily scale hydroclimate simulation in typical loess hilly areas of China

EPMITS: An efficient prediction method incorporating trends and shapes features for chemical process variables

Federated learning and non-federated learning based power forecasting of photovoltaic/wind power energy systems: A systematic review

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