Integrated CNN‐LSTM for Photovoltaic Power Prediction based on Spatio‐Temporal Feature Fusion

Integrated CNN‐LSTM for Photovoltaic Power Prediction based on Spatio‐Temporal Feature Fusion

ABSTRACT The accurate prediction of the output power of each power plant is crucial for effective resource deployment. This paper proposes a convolutional neural network‐long short‐term memory (CNN‐LSTM) network integration model based on spatio‐temporal feature fusion. Firstly, the temporal correla...

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Bibliographic Details
Main Authors: Junwei Ma, Meiru Huo, Jinfeng Han, Yunfeng Liu, Shunfa Lu, Xiaokun Yu
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Engineering Reports
Subjects:
convolutional neural network
feature correlation
long short‐term memory network
photovoltaic power prediction
Online Access:https://doi.org/10.1002/eng2.13088
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https://doi.org/10.1002/eng2.13088

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