An optimal time-of-use pricing for urban gas: A study with a multi-agent evolutionary game-theoretic perspective-Reference-Cited by-同舟云学术

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An optimal time-of-use pricing for urban gas: A study with a multi-agent evolutionary game-theoretic perspective

Published:2016-02 Issue: Volume:163 Page:283-294
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Gong Chengzhu,Tang Kai,Zhu Kejun,Hailu Atakelty

Funder

National Natural Science Foundation of China

Ministry of Education Foundation of China

China University of Geosciences

Publisher

Elsevier BV

Subject

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

Reference42 articles.

1. Modeling and simulation of consumer response to dynamic pricing with enabled technologies;Valenzuela;Appl Energy,2012

2. Effective and equitable adoption of opt-in residential dynamic electricity pricing;Borenstein;Rev Ind Organ,2013

3. Efficiency and equity in two-part tariffs: the case of residential water rates;Porcher;Appl Econ,2014

4. Efficient retail pricing in electricity and natural gas markets;Puller;Am Econ Rev,2013

5. Application of dynamic programming to study load shifting in buildings;Favre;Energy Build,2014

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