Work

Short-term Forecasting for Charging Pile and Photovoltaic Loads Based on LSTM-Seq2seq Model in Extreme Weather

Year: 2024

Type: conference-paper

Source: International Conference on Smart Grid and Smart Cities (ICSGSC)

DOI: 10.1109/icsgsc62639.2024.10813768

Authors: Mengyuan Zhang, Yingjie Tian, Yun Su, Yingying Zhao, Yufan Zhang, Deyong Yu, Gaiping Sun

Institutions: State Grid Shanghai Municipal Electric Power Company (China), Shanghai University of Electric Power

Language: English

Topic: Energy Load and Power Forecasting

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Climate action, Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

Funder: Science and Technology Foundation of State Grid Corporation of China

Award: G5235275024

OpenAlex ID: W4405936305

FWCI: 0.806

Cites: 9

Cited by: 1

Related to: 10