Short-term Load Forecasting Based on Multi-model Fusion of CNN-LSTM-LGBM

Author:

Qian Wei1,Gu Chunlei1,Zhu Chongxi1,Jiang Zilv1,Han Baohui2,Yu Miao2

Affiliation:

1. State Grid Zhejiang Tongxiang Power Supply Company,Jiaxing,China

2. Zhejiang University,College of Electrical Engineering,Hangzhou,China

Publisher

IEEE

Reference19 articles.

1. Short-Term Residential Load Forecasting Based on Resident Behaviour Learning

2. Recurrent Neural Networks for Short-Term Load Forecasting

3. Hourly day-ahead solar irradiance prediction using weather forecasts by LSTM

4. Day-ahead building-level load forecasts using deep learning vs. traditional time-series techniques

5. Residential Short-Term Load Forecasting Using Convolutional Neural Networks[C];voß;2018 IEEE International Conference on Communications Control and Computing Technologies for Smart Grids (SmartGridComm),2018

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