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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書誌詳細

主要な著者:	Akash Kumar, Bing Yan, Ace Bilton
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2022-09-01
シリーズ:	Energies
主題:	nanogrids peak load load forecasting artificial neural network (ANN) machine learning microgrids
オンライン･アクセス:	https://www.mdpi.com/1996-1073/15/18/6721
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