Power load prediction of smart grid based on deep learning

Author:

Xiang Siyu,Zhen Cao,Peng Jian,Zhang Linghao,Pu Zhengguo

Publisher

Elsevier BV

Subject

General Engineering

Reference23 articles.

1. The application of improved neural network algorithm based on particle group in short-term load prediction;Ning;IOP Conference Series Earth and Environmental Science,2021

2. Short-term cooling load prediction for office buildings based on feature selection scheme and stacking ensemble model;Gao;Engineering computations: International journal for computer-aided engineering and software,2022

3. A pyramid-cnn based deep learning model for power load forecasting of similar-profile energy customers based on clustering;Aurangzeb;IEEE Access,2021

4. Mts-lstdm: multi-time-scale long short-term double memory for power load forecasting;Lou;Journal of systems architecture,2022

5. Ultra-short-term photovoltaic power forecasting of multifeature based on hybrid deep learning;Zhou;International Journal of Energy Research,2022

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