Toward cost-effective residential energy reduction and community impacts: A data-based machine learning approach

Toward cost-effective residential energy reduction and community impacts: A data-based machine learning approach

Many U.S. utilities incentivize residential energy reduction through rebates, often in response to state mandates for energy reduction or from a desire to reduce demand to mitigate the need to grow generating assets. The assumption built into incentive programs is that the least efficient residences...

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Bibliographic Details
Main Authors: Adel Naji, Badr Al Tarhuni, Jun-Ki Choi, Salahaldin Alshatshati, Seraj Ajena
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:Energy and AI
Subjects:
Building energy efficiency
Data mining
Machine learning
Levelized cost of energy saving
Energy reduction strategy
Economic input–output analysis
Online Access:http://www.sciencedirect.com/science/article/pii/S2666546821000227

Internet

http://www.sciencedirect.com/science/article/pii/S2666546821000227

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