Enhancing grid stability with machine learning: A smart predictive approach to residential energy management

This research focuses on enhancing energy efficiency and grid stability in residential buildings by developing and evaluating advanced demand response (DR) strategies, explicitly comparing a Rule-Based model with a Predictive model leveraging machine learning. The Predictive Model utilised a neural...

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Vydané v:	Energy and buildings Ročník 338; s. 115729
Hlavní autori:	Olawumi, Mattew A., Oladapo, B.I.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.07.2025
Predmet:	Demand response Energy efficiency Grid stability Machine learning Predictive algorithms Demand response Energy efficiency Grid stability Predictive algorithms Machine learning
ISSN:	0378-7788
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