Medium‐term load forecasting of power system based on BiLSTM and parallel feature extraction network

Medium‐term load forecasting of power system based on BiLSTM and parallel feature extraction network

Abstract With the diversification of users’ energy demands, accurate load forecasting is an important prerequisite for optimal scheduling and economic operation of the system, but a single‐load forecasting method cannot effectively predict multi‐energy loads accurately. Therefore, this paper propose...

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Bibliographic Details
Main Authors: Fei Li, Chenjun Sun, Wei Han, Tongyu Yan, Gang Li, Zhenbing Zhao, Yi Sun
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:IET Generation, Transmission & Distribution
Subjects:
convolutional neural nets
feature extraction
load forecasting
Online Access:https://doi.org/10.1049/gtd2.13083

Internet

https://doi.org/10.1049/gtd2.13083

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