Paper Info
Title
Towards Heuristic Algorithms: GA, WDO, BPSO, and BFOA for Home Energy Management in Smart Grid.
Abstract
In this paper, we analyse the scheduling of residential appliances to: 1) reduce cost, and 2) reduce Peak to Average Ratio (PAR) by smoothing load profile. We consider 10 different residential appliances which are categorized into three different groups: shiftable interruptible, shiftable uninterruptible and regular appliances to flexibly control the load. To schedule appliances, Home Energy Management (HEM) systems are designed by using four different heuristic algorithms: Bacterial Forging Optimization Algorithm (BFOA), Genetic Algorithm (GA), Binary Particle Swarm Optimization (BPSO) and Wind Driven Optimization (WDO).
Year
DOI
Venue
2016
10.1007/978-3-319-49106-6_25
ADVANCES ON BROAD-BAND WIRELESS COMPUTING, COMMUNICATION AND APPLICATIONS
Field
DocType
Volume
Energy management,Mathematical optimization,Heuristic,Smart grid,Heuristic (computer science),Computer science,Demand response,Algorithm,Home automation,Load profile,Genetic algorithm
Conference
2
ISSN
Citations 
PageRank 
2367-4512
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Mudassar Naseem100.34
Samia Abid212.71
Rabiya Khalid3214.14
Ghulam Hafeez471.67
Sardar Mahboob Hussain500.34
Nadeem Javaid61043222.46