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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - A Heuristic-Based Appliance Scheduling Scheme for Smart Homes
AU - Jindal, Anish
AU - Bhambu, Bharat Singh
AU - Singh, Mukesh
AU - Kumar, Neeraj
AU - Naik, Sagar
N1 - ©2020 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
PY - 2020/5/31
Y1 - 2020/5/31
N2 - The ever-growing demand for electricity in the residential sector results in creating a severe burden on electric grids. However, with the emergence of smart homes (SHs) and smart grids (SGs), this burden can be reduced to some extent. To address this issue, we propose an energy management system in this paper which manages the power requirements of SHs automatically according to the utility constraints and user priorities. The proposed system is based on a heuristic technique which considers the users priority and power available from the grid as well as distributed energy resources (DERs) for scheduling of appliances. It works by dividing the appliance scheduling problem in an SH into sub-problems for different time-slots. Results show that the proposed scheme efficiently manages the load demand of the SH with respect to power available from the utility, battery energy storage system, and user preferences.
AB - The ever-growing demand for electricity in the residential sector results in creating a severe burden on electric grids. However, with the emergence of smart homes (SHs) and smart grids (SGs), this burden can be reduced to some extent. To address this issue, we propose an energy management system in this paper which manages the power requirements of SHs automatically according to the utility constraints and user priorities. The proposed system is based on a heuristic technique which considers the users priority and power available from the grid as well as distributed energy resources (DERs) for scheduling of appliances. It works by dividing the appliance scheduling problem in an SH into sub-problems for different time-slots. Results show that the proposed scheme efficiently manages the load demand of the SH with respect to power available from the utility, battery energy storage system, and user preferences.
U2 - 10.1109/TII.2019.2912816
DO - 10.1109/TII.2019.2912816
M3 - Journal article
VL - 16
SP - 3242
EP - 3255
JO - IEEE Transactions on Industrial Informatics
JF - IEEE Transactions on Industrial Informatics
SN - 1551-3203
IS - 5
ER -