Short-term photovoltaic power forecasting method based on convolutional neural network

Short-term photovoltaic power forecasting method based on convolutional neural network

This research proposes a hybrid model that combines the convolutional neural network (CNN) and the bidirectional long short-term memory network (BiLSTM) to accurately estimate the energy output of a short-term photovoltaic system. Firstly, Pearson correlation analysis is introduced to screen out met...

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Bibliographic Details
Main Authors: Yutong He, Qingzhong Gao, Yuanyuan Jin, Fang Liu
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Energy Reports
Subjects:
Renewable energy
Photovoltaic power prediction
Solar energy
Convolutional neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484722020066

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http://www.sciencedirect.com/science/article/pii/S2352484722020066

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