Short-Term Power Prediction by Using Least Square Support Vector Machine With Variational Mode Decomposition in a Photovoltaic System

In order to improve the accuracy of short-term photovoltaic power prediction, a comprehensively artificial intelligent (AI) based algorithm has been proposed. Firstly, a fuzzy C-means (FCM) is used to cluster historical data into different groups according to meteorological variables; Secondly, a va...

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Veröffentlicht in:	IEEE access 2023, Vol.11, p.143486-143500
Hauptverfasser:	Cai, Yongxiang, Hao, Shuqing, Wen, Xiankui, Li, Hongwei, He, Xiaomeng, Chen, Lu, Ren, Jiakuan
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Clustering algorithms Data models Data processing Decomposition Fuzzy C-means Heuristic methods improved sparrow search algorithm Least squares least squares support vector machine Local optimization Optimization Prediction algorithms Predictive models Search algorithms short-term photovoltaic power prediction Support vector machines variational modal decomposition Weather forecasting whale optimization algorithm
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