Ultra-Short-Term Forecasting of Photo-Voltaic Power via RBF Neural Network

Ultra-Short-Term Forecasting of Photo-Voltaic Power via RBF Neural Network

With the fast expansion of renewable energy systems during recent years, the stability and quality of smart grids using solar energy have been challenged because of the intermittency and fluctuations. Hence, forecasting photo-voltaic (PV) power generation is essential in facilitating planning and ma...

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Bibliographic Details
Main Authors:	Wanxing Ma, Zhimin Chen, Qing Zhu
Format:	Article
Language:	English
Published:	MDPI AG 2020-10-01
Series:	Electronics
Subjects:	photo-voltaic power forecasting RBF neural network Spearman correlation coefficient ultra-short-term forecasting
Online Access:	https://www.mdpi.com/2079-9292/9/10/1717

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