Short-term Power Prediction of Photovoltaic Power Generation Based on LSTM and Error Correction

Short-term Power Prediction of Photovoltaic Power Generation Based on LSTM and Error Correction

In order to improve the stability of photovoltaic power grid connection and make full use of error information to correct the model prediction results, this paper proposes a short-term photovoltaic power prediction model based on long short-term memory (LSTM) and error correction. First, the data is...

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Bibliographic Details
Main Authors: ZHU Tao, LI Junwei, ZHU Yuanfu, YE Zhiming, TANG Yi
Format: Article
Language:Chinese
Published: Harbin University of Science and Technology Publications 2025-04-01
Series:Journal of Harbin University of Science and Technology
Subjects:
photovoltaic power generation
error correction
optimization algorithm
empirical mode decomposition
power prediction
Online Access:https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2420
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https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2420

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