JOURNAL ARTICLE

Short-term load forecasting of regional integrated energy system

Jianyu Wang

Year: 2021 Journal:   Neural Network World Vol: 31 (6)Pages: 415-426   Publisher: Czech Technical University in Prague

Abstract

Based on the theoretical analysis of Elman network, the short-term load forecasting model of regional integrated energy system is established.The structure and parameters of the model are determined through repeated off-line training and experiments.The forecasting accuracy is significantly higher than that of traditional BP network, and the prediction error is less than 3 %, which can meet the needs of coordination and scheduling of regional integrated energy system.

Keywords:
Term (time) Energy (signal processing) Computer science Mathematics Physics Statistics

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Topics

Smart Grid and Power Systems
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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