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A genetic algorithm based dynamic pricing for improving bi-directional interactions with reduced power imbalance
Dalarna University, School of Technology and Business Studies, Energy Technology. City University of Hong Kong.
Guangzhou University, Guangzhou, PR China.
City University of Hong Kong, Kowloon, Hong Kong; City University of Hong Kong Shenzhen Research Institute, Shenzhen, PR China.
2019 (English)In: Energy and Buildings, ISSN 0378-7788, E-ISSN 1872-6178, Vol. 199, p. 275-286Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2019. Vol. 199, p. 275-286
National Category
Energy Engineering
Research subject
Energy and Built Environments
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URN: urn:nbn:se:du-30587DOI: 10.1016/j.enbuild.2019.07.003ISI: 000482245700023Scopus ID: 2-s2.0-85068486421OAI: oai:DiVA.org:du-30587DiVA, id: diva2:1340707
Available from: 2019-08-06 Created: 2019-08-06 Last updated: 2019-09-17Bibliographically approved

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Huang, Pei

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CiteExportLink to record
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