Electric Vehicle Charging Load Prediction Model Based on Improved LSTM Neural Network-Reference-Cited by-同舟云学术

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Electric Vehicle Charging Load Prediction Model Based on Improved LSTM Neural Network

Published:2024-06-21 Issue: Volume:3 Page:1505-1509
ISSN:
Container-title:2024 6th International Conference on Energy Systems and Electrical Power (ICESEP)
language:
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Author:

Wang Yachao¹,Xuechao L.²,Yuan Ruiming¹,Zhong Kan¹,Yihao H.³,Yang Ting³

Affiliation:

1. Center of Metrology, State Grid Jibei Electric Power Company Limited,Beijing,China

2. Tangshan Power Supply Company, State Grid Jibei Electric Power Company Limited,Beijing,China

3. School of Electrical and Information Engineering, Tianjin University,Tianjin,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649893/10651613/10651634.pdf?arnumber=10651634

Reference13 articles.

1. Contribute wisdom and strength to achieve the goal of carbon emission peak and carbon neutrality[J];Xin;State Grid,2021

2. Two-stage optimal dispatching of regional power grid based on electric vehicles participation in peak-shaving pricing strategy [J];Jingsi;Transactions of China Electrotechnical Society,2022

3. Review on artificial intelligence based load forecasting research for the newtype power system[J/OL];Fujia

4. STD: A Seasonal-Trend-Dispersion Decomposition of Time Series

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