Short-term power load forecasting based on hybrid feature extraction and parallel BiLSTM network-Reference-Cited by-同舟云学术

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Short-term power load forecasting based on hybrid feature extraction and parallel BiLSTM network

Published:2024-11 Issue: Volume:119 Page:109631
ISSN:0045-7906
Container-title:Computers and Electrical Engineering
language:en
Short-container-title:Computers and Electrical Engineering

Author:

Han Jiacai,Zeng Pan^ORCID

Publisher

Elsevier BV

Reference53 articles.

1. Electricity load forecasting: a systematic review;Nti;J Electr Syst Inf Technol,2020

2. Short-term electricity load forecasting—A systematic approach from system level to secondary substations;Pinheiro;Appl Energy,2023

3. Industrial artificial intelligence based energy management system: Integrated framework for electricity load forecasting and fault prediction;Hu;Energy,2022

4. Pathways to net zero emissions for the Indian power sector;Das;Energy Strategy Rev,2023

5. Grid integration feasibility and investment planning of offshore wind power under carbon-neutral transition in China;Guo;Nature Commun,2023

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