Energy consumption prediction using modified deep CNN-Bi LSTM with attention mechanism

Energy consumption prediction using modified deep CNN-Bi LSTM with attention mechanism

The prediction of energy consumption in households is essential due to the reliance on electrical appliances for daily activities. Accurate assessment of energy demand is crucial for effective energy generation, preventing overloads and optimizing energy storage. Traditional techniques have limitati...

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Bibliographic Details
Main Authors:	Adel Binbusayyis, Mohemmed Sha
Format:	Article
Language:	English
Published:	Elsevier 2025-01-01
Series:	Heliyon
Subjects:	Deep learning Convolutional neural network Bi directional long short term memory Energy consumption and household energy dataset
Online Access:	http://www.sciencedirect.com/science/article/pii/S240584402417538X
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