Integrated Forecasting Models Based on LSTM and TCN for Short-Term Electricity Load Forecasting
Author:
Affiliation:
1. China Three Gorges University,School of Electrical and New Energy,Yichang,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10149891/10149908/10149951.pdf?arnumber=10149951
Reference20 articles.
1. Load prediction using support vector regression
2. A Short Term Load Periodic Prediction Model Based on GBDT
3. A Short-Term Load Forecasting Model Based on Self-Adaptive Momentum Factor and Wavelet Neural Network in Smart Grid
4. Short-term load forecasting based on support vector regression with improved grey wolf optimizer
5. Neural Computing for Advanced Applications
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4. Multi-Feature Short-Term Electricity Load Forecasting Based On Improved CNN-LSTM Combined Forecasting Model;2023 2nd Asia Power and Electrical Technology Conference (APET);2023-12-28
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