Retail electricity pricing via online-learning of data-driven demand response of HVAC systems-Reference-Cited by-同舟云学术

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Retail electricity pricing via online-learning of data-driven demand response of HVAC systems

Published:2020-05 Issue: Volume:265 Page:114771
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Yoon Ah-Yun,Kim Young-Jin,Zakula Tea,Moon Seung-Ill

Funder

National Research Foundation of Korea

Korea Institute of Energy Technology Evaluation and Planning

Publisher

Elsevier BV

Subject

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

Reference44 articles.

1. US Energy Information Administration. Annual Energy Outlook 2016. U.S. Department of Energy

2. 2016 [accessed 30 April 2019].

3. Power hardware-in-the-loop simulation study on frequency regulation through direct load control of thermal and electrical energy storage resources;Kim;IEEE Trans Smart Grid,2016

4. Comparison of load shifting incentives for low-energy buildings with heat pumps to attain grid flexibility benefits;Patteeuw;Appl Energy,2016

5. Load shifting using the hearing and cooling system of an office building: quantitative potential evaluation for different flexibility and storage options;Klein;Appl Energy,2017

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