Machine Learning-Based Load Forecasting for Nanogrid Peak Load Cost Reduction

Increased focus on sustainability and energy decentralization has positively impacted the adoption of nanogrids. With the tremendous growth, load forecasting has become crucial for their daily operation. Since the loads of nanogrids have large variations with sudden usage of large household electric...

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Autors principals:	Akash Kumar, Bing Yan, Ace Bilton
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2022-09-01
Col·lecció:	Energies
Matèries:	nanogrids peak load load forecasting artificial neural network (ANN) machine learning microgrids
Accés en línia:	https://www.mdpi.com/1996-1073/15/18/6721
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