TY - GEN
T1 - Modelling and Analysis of Home Energy Management System Using Intelligent Algorithms
AU - Yelisetti, Srinivas
AU - Kumar, Rajesh
AU - Gupta, Vishu
AU - Saxena, Akash
AU - Lamba, Ravita
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/12/10
Y1 - 2020/12/10
N2 - In the Home Energy Management System (HEMS), mathematical optimization has been approved to be a convincing tool for reducing the energy consumption. This HEMS approach considers the mathematical modelling of the heating, ventilation, air conditioning (HVAC) and lighting system with occupant's comfortable thermal conditions. In this paper, the proposed model is implemented for standalone residence. Further, to minimize energy consumption, intelligent algorithms and CPLEX solver in YALMIP toolbox have been applied to the formulated objective. The results have been analysed in terms of energy consumption and computation time consumed by different algorithms and toolbox. The results aided in determining the most promising optimization approach among the different algorithms and toolbox. Eventually, research was helped to assess the efficacy as well as the adaptability of the propounded framework.
AB - In the Home Energy Management System (HEMS), mathematical optimization has been approved to be a convincing tool for reducing the energy consumption. This HEMS approach considers the mathematical modelling of the heating, ventilation, air conditioning (HVAC) and lighting system with occupant's comfortable thermal conditions. In this paper, the proposed model is implemented for standalone residence. Further, to minimize energy consumption, intelligent algorithms and CPLEX solver in YALMIP toolbox have been applied to the formulated objective. The results have been analysed in terms of energy consumption and computation time consumed by different algorithms and toolbox. The results aided in determining the most promising optimization approach among the different algorithms and toolbox. Eventually, research was helped to assess the efficacy as well as the adaptability of the propounded framework.
KW - heating
KW - Home energy management system
KW - ventilation and air conditioning
UR - http://www.scopus.com/inward/record.url?scp=85101076019&partnerID=8YFLogxK
U2 - 10.1109/ICPECTS49113.2020.9337014
DO - 10.1109/ICPECTS49113.2020.9337014
M3 - Conference contribution
AN - SCOPUS:85101076019
T3 - ICPECTS 2020 - IEEE 2nd International Conference on Power, Energy, Control and Transmission Systems, Proceedings
BT - ICPECTS 2020 - IEEE 2nd International Conference on Power, Energy, Control and Transmission Systems, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE International Conference on Power, Energy, Control and Transmission Systems, ICPECTS 2020
Y2 - 10 December 2020 through 11 December 2020
ER -