Short-term power load forecasting model based on VMD-SSA-LSTM

Author:

Ma Zhiqiang1,Cai Hongyang1

Affiliation:

1. Wuhan University of Technology,School of Automation,Wuhan,China

Publisher

IEEE

Reference15 articles.

1. Review of research on power load forecasting methods in distribution network planning [J];Deng;Electrical Appliances and Energy Efficiency Management Technology,2019

2. Review of the application of deep learning in power load forecasting [J];Zhu;Journal of Zhengzhou University (Engineering Edition),2019

3. ARIMA-GRU short-term power load forecasting based on feature mining [J];Yu;Journal of Electric Power Systems and Automation,2022

4. Short Term Load Forecasting using Metaheuristic Techniques

5. Bagging–XGBoost algorithm based extreme weather identification and short-term load forecasting model

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