Short-Term Photovoltaic Power Forecasting Based on Historical Information and Deep Learning Methods

Short-Term Photovoltaic Power Forecasting Based on Historical Information and Deep Learning Methods

The accurate prediction of photovoltaic (PV) power is essential for planning power systems and constructing intelligent grids. However, this has become difficult due to the intermittency and instability of PV power data. This paper introduces a deep learning framework based on 7.5 min-ahead and 15 m...

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Bibliographic Details
Main Authors:	Xianchao Guo, Yuchang Mo, Ke Yan
Format:	Article
Language:	English
Published:	MDPI AG 2022-12-01
Series:	Sensors
Subjects:	Bayesian optimization algorithm bidirectional long short-term memory deep learning singular spectrum analysis short-term photovoltaic power forecasting
Online Access:	https://www.mdpi.com/1424-8220/22/24/9630

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