Empowering data-driven load forecasting by leveraging long short-term memory recurrent neural networks

Empowering data-driven load forecasting by leveraging long short-term memory recurrent neural networks

The integration of renewable energy sources has resulted in an increasing intricacy in the functioning and organization of power systems. Accurate load forecasting, particularly taking into account dynamic factors like as climatic and socioeconomic impacts, is essential for effective management. Con...

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Bibliographic Details
Main Authors: Waqar Waheed, Qingshan Xu, Muhammad Aurangzeb, Sheeraz Iqbal, Saadat Hanif Dar, Z.M.S. Elbarbary
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Heliyon
Subjects:
Load forecasting
Demand response
Deep learning
Long-short term memory
Recurrent neural networks
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024169654
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