Research on Generation Wind Onshore Forecasting Method Based on Enhanced Long Short-Term Memory Hybrid Network Model
Author:
Affiliation:
1. China Agricultural University,College of Science,Beijing,China
2. Harbin Institute of Technology,School of Electronics and Information Engineering,Harbin,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10625772/10626208/10626279.pdf?arnumber=10626279
Reference11 articles.
1. A Prediction Method for Short-Term Photovoltaic Power Generation Based on Short-Length Memory Neural Network Optimization;Wei,2022
2. Research on photovoltaic power generation prediction method based on CNN-LSTM hybrid neural network;Denghai;Journal of Xi’an Shiyou University (Natural Science Edition),2024
3. Short term photovoltaic power generation prediction method based on machine learning;Wentao;Nanjing University of Posts and Telecommunications,2023
4. Robust short-term prediction of wind turbine power based on combined neural networks
5. Long Short-Term Memory
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