A multi-step ahead photovoltaic power prediction model based on similar day, enhanced colliding bodies optimization, variational mode decomposition, and deep extreme learning machine

Accurate photovoltaic power prediction is important to ensure the safety, stability, and economic operation of the power system after high photovoltaic demand. However, due to the intermittent and stochastic volatility characteristics of photovoltaic power, it is difficult to build satisfactory phot...

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Veröffentlicht in:	Energy (Oxford) 2021-06, Vol.224, p.120094, Article 120094
Hauptverfasser:	Li, Qing, Zhang, Xinyan, Ma, Tianjiao, Jiao, Chunlei, Wang, Heng, Hu, Wei
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks China Correlation analysis Correlation coefficient Correlation coefficients Decomposition Deep extreme learning machine energy Enhanced colliding bodies optimization Entropy Intelligence Learning algorithms Machine learning Model testing Multi-step ahead Optimization Permutations Photovoltaic cells Photovoltaic power prediction Photovoltaics Power plants prediction Prediction models solar energy Variational mode decomposition
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