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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Veröffentlicht in:	Energy and buildings Jg. 338; S. 115729
Hauptverfasser:	Olawumi, Mattew A., Oladapo, B.I.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.07.2025
Schlagworte:	Demand response Energy efficiency Grid stability Machine learning Predictive algorithms Demand response Energy efficiency Grid stability Predictive algorithms Machine learning
ISSN:	0378-7788
Online-Zugang:	Volltext
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