University of Hertfordshire

By the same authors

Near-Optimal Scheduling of Residential Smart Home Appliances Using Heuristic Approach

Research output: Contribution to conferencePaperpeer-review

Standard

Near-Optimal Scheduling of Residential Smart Home Appliances Using Heuristic Approach. / Ogwumike, Chris; Short, Michael; Denai, Mouloud.

2015. Paper presented at IEEE International Conference on Industrial Technology, Seville, Spain.

Research output: Contribution to conferencePaperpeer-review

Harvard

Ogwumike, C, Short, M & Denai, M 2015, 'Near-Optimal Scheduling of Residential Smart Home Appliances Using Heuristic Approach', Paper presented at IEEE International Conference on Industrial Technology, Seville, Spain, 17/03/15 - 19/03/15.

APA

Ogwumike, C., Short, M., & Denai, M. (2015). Near-Optimal Scheduling of Residential Smart Home Appliances Using Heuristic Approach. Paper presented at IEEE International Conference on Industrial Technology, Seville, Spain.

Vancouver

Ogwumike C, Short M, Denai M. Near-Optimal Scheduling of Residential Smart Home Appliances Using Heuristic Approach. 2015. Paper presented at IEEE International Conference on Industrial Technology, Seville, Spain.

Author

Ogwumike, Chris ; Short, Michael ; Denai, Mouloud. / Near-Optimal Scheduling of Residential Smart Home Appliances Using Heuristic Approach. Paper presented at IEEE International Conference on Industrial Technology, Seville, Spain.

Bibtex

@conference{30c621dc3757444191b58141ec2c5057,
title = "Near-Optimal Scheduling of Residential Smart Home Appliances Using Heuristic Approach",
abstract = "This paper presents an efficient heuristic approach for scheduling residential smart home appliances. Using available hourly prices for electricity, the starting times of a supplied set of appliances are optimized so that the economic cost of the energy consumed is reduced, while satisfying the operational and peak power constraints. The algorithm schedules appliances one after the other based on a greedy strategy. The heuristic (c.f. exact) approach is taken to reduce the computational burden to a level allowing re-optimization to take place at regular intervals by a modest computing device without specialized software, which could be embedded in a smart meter. The proposed algorithm is evaluated through a preliminary experimental study comparing the obtained costs and computation times with an exact algorithm. Results indicate that the obtained cost was within 5% of the optimal cost, while the computation time reduced by exponential factors.",
keywords = "Energy optimization; Residential appliances; Heuristic algorithm; Demand Response; Smart home",
author = "Chris Ogwumike and Michael Short and Mouloud Denai",
year = "2015",
language = "English",
note = "IEEE International Conference on Industrial Technology ; Conference date: 17-03-2015 Through 19-03-2015",

}

RIS

TY - CONF

T1 - Near-Optimal Scheduling of Residential Smart Home Appliances Using Heuristic Approach

AU - Ogwumike, Chris

AU - Short, Michael

AU - Denai, Mouloud

PY - 2015

Y1 - 2015

N2 - This paper presents an efficient heuristic approach for scheduling residential smart home appliances. Using available hourly prices for electricity, the starting times of a supplied set of appliances are optimized so that the economic cost of the energy consumed is reduced, while satisfying the operational and peak power constraints. The algorithm schedules appliances one after the other based on a greedy strategy. The heuristic (c.f. exact) approach is taken to reduce the computational burden to a level allowing re-optimization to take place at regular intervals by a modest computing device without specialized software, which could be embedded in a smart meter. The proposed algorithm is evaluated through a preliminary experimental study comparing the obtained costs and computation times with an exact algorithm. Results indicate that the obtained cost was within 5% of the optimal cost, while the computation time reduced by exponential factors.

AB - This paper presents an efficient heuristic approach for scheduling residential smart home appliances. Using available hourly prices for electricity, the starting times of a supplied set of appliances are optimized so that the economic cost of the energy consumed is reduced, while satisfying the operational and peak power constraints. The algorithm schedules appliances one after the other based on a greedy strategy. The heuristic (c.f. exact) approach is taken to reduce the computational burden to a level allowing re-optimization to take place at regular intervals by a modest computing device without specialized software, which could be embedded in a smart meter. The proposed algorithm is evaluated through a preliminary experimental study comparing the obtained costs and computation times with an exact algorithm. Results indicate that the obtained cost was within 5% of the optimal cost, while the computation time reduced by exponential factors.

KW - Energy optimization; Residential appliances; Heuristic algorithm; Demand Response; Smart home

M3 - Paper

T2 - IEEE International Conference on Industrial Technology

Y2 - 17 March 2015 through 19 March 2015

ER -