Scheduling Appliances with GA, TLBO, FA, OSR and Their Hybrids Using Chance Constrained Optimization...
Scheduling Appliances with GA, TLBO, FA, OSR and Their Hybrids Using Chance Constrained Optimization for Smart Homes
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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In this paper, we design a controller for home energy management based on following meta-heuristic algorithms: teaching learning-based optimization (TLBO), genetic algorithm (GA), firefly algorithm (FA) and optimal stopping rule (OSR) theory. The principal goal of designing this controller is to reduce the energy consumption of residential sectors...
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Scheduling Appliances with GA, TLBO, FA, OSR and Their Hybrids Using Chance Constrained Optimization for Smart Homes
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TN_cdi_doaj_primary_oai_doaj_org_article_ec32759d9374497e9f081f6d82a6380b
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ec32759d9374497e9f081f6d82a6380b
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ISSN
1996-1073
E-ISSN
1996-1073
DOI
10.3390/en11040888
