Paper Info
Title
A Meta-Heuristic Home Energy Management System
Abstract
In this work, we evaluate performance of home energy management system(HEM) by using three meta-heuristic optimization techniques: Harmony search algorithm (HSA), Bacterial foraging optimization (BFO) and Enhanced deferential evolution(EDE). We categorize appliances into three groups on the basis of their energy consumption pattern. Real time pricing (RTP) scheme is used for electricity bill calculation. Our objectives are to minimize electricity cost, energy consumption, reduction in peak to average ratio while maximizing user comfort. However, there exists a trade-off between different objectives. Our simulation results show that there exist a trade-off between user comfort and cost. Results also show that in terms of cost HSA perform better among other techniques.
Year
DOI
Venue
2017
10.1109/WAINA.2017.118
2017 31st International Conference on Advanced Information Networking and Applications Workshops (WAINA)
Keywords
Field
DocType
Smart grid,Demand side management,Demand response,Heuristic techniques,Bacterial foraging,Harmony search algorithm,Enhanced deferential evolution
Energy management,Mathematical optimization,Electricity cost,Electricity,Computer science,Meta heuristic,Real time pricing,Harmony search,Energy management system,Energy consumption
Conference
ISBN
Citations 
PageRank 
978-1-5090-6232-4
12
0.76
References 
Authors
11
6
Name
Order
Citations
PageRank
Ayesha Zafar1131.78
Samia Shah2120.76
Rabiya Khalid3214.14
Sardar Mehboob Hussain4121.78
Muhammad Hassan Rahim5206.11
Nadeem Javaid61043222.46