Evaluation of neural networks for residential load forecasting and the impact of systematic feature identification

Abstract Energy systems face challenges due to climate change, distributed energy resources, and political agenda, especially distribution system operators (DSOs) responsible for ensuring grid stability. Accurate predictions of the electricity load can help DSOs better plan and maintain their grids....

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Bibliographic Details

Main Authors:	Nicolai Bo Vanting, Zheng Ma, Bo Nørregaard Jørgensen
Format:	Artigo
Language:	Inglês
Published:	SpringerOpen 2022-12-01
Series:	Energy Informatics
Subjects:	Short-term load forecasting Residential electricity consumption Artificial neural network Recurrent neural network Feature identification Feature selection
Online Access:	https://doi.org/10.1186/s42162-022-00224-5
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