Demand response algorithms for smart-grid ready residential buildings using machine learning models-Reference-Cited by-同舟云学术

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Demand response algorithms for smart-grid ready residential buildings using machine learning models

Published:2019-04 Issue: Volume:239 Page:1265-1282
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Pallonetto Fabiano^ORCID,De Rosa Mattia^ORCID,Milano Federico^ORCID,Finn Donal P.

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference54 articles.

1. IEA. Transition to Sustainable Buildings. Technical Report, Internationl Energy Agency; 2013.

2. A review on buildings energy consumption information;Pérez-Lombard;Energy Build,2008

3. SEAI, Residential energy road map, Online; 2011.

4. European Commission, Energy roadmap 2050; 2012.

5. Electricity load forecasting for residential customers: exploiting aggregation and correlation between households;Humeau,2013

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