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Experimental Study and Modeling of Automatic Home Energy Management System Using AI
Author(s)
Pranee, Piyanut
Jirasuwankul, Nirudh
Date Issued
January 1, 2021
Type
Conference Paper
Abstract
This 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.
Citation
2021 International Conference on Power Energy and Innovations Icpei 2021, 103-106, 2021