Experimental Study and Modeling of Automatic Home Energy Management System Using AI

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dc.contributor.authorPranee, Piyanut
dc.contributor.authorJirasuwankul, Nirudh
dc.date.accessioned2026-08-06T10:30:35Z
dc.date.available2026-08-06T10:30:35Z
dc.date.issued2021-01-01
dc.description.abstractThis paper proposes an experimental study and modeling of Fuzzy logic based-AI for home energy management system. The management model has been designed for home in the subtropical climate zone-like, i.e., Thailand, which having yearly and monthly average temperature of 28°c and 30-38°c in the hottest season respectively. The studied system model comprises of the grid-connected load of home appliances, air conditioner, type-1 EV charger and solar rooftop PV supply. The objective of energy management is to minimize grid power consuming as well as maximizing solar PV utilization with 24-hour load profile, principally running of air conditioner and EV charging load. By testing the proposed management system comparatively to the generic system without managing scheme, energy saving of 43.90% can be achieved under the same operating and environmental conditions. Those are illustrated by the simulation results.
dc.identifier.citation2021 International Conference on Power Energy and Innovations Icpei 2021, 103-106, 2021
dc.identifier.doi10.1109/ICPEI52436.2021.9690647
dc.identifier.other2-s2.0-85126643673
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/11502
dc.source2021 International Conference on Power Energy and Innovations Icpei 2021
dc.subjectAI
dc.subjectAir conditioner
dc.subjectEnergy management
dc.subjectEV charger
dc.subjectFuzzy logic
dc.subjectSolar PV
dc.titleExperimental Study and Modeling of Automatic Home Energy Management System Using AI
dc.typeConference Paper

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