Forecasting Day-Ahead Electricity Demand in Australia Using a CNN-LSTM Model with an Attention Mechanism

Accurate energy demand forecasting is vital for optimizing resource allocation and energy efficiency. Despite advancements in various prediction models, existing approaches often struggle to capture the complex, nonlinear relationships between temperature variations and electricity consumption. To a...

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Manylion Llyfryddiaeth

Prif Awduron:	Laial Alsmadi, Gang Lei, Li Li
Fformat:	Artigo
Iaith:	Inglês
Cyhoeddwyd:	MDPI AG 2025-03-01
Cyfres:	Applied Sciences
Pynciau:	electricity demand prediction heating degree days cooling degree days deep learning Convolutional Neural Network (CNN)
Mynediad Ar-lein:	https://www.mdpi.com/2076-3417/15/7/3829
Tagiau:	Ychwanegu Tag Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!