Paper Info
Title
Home Energy Management Using Fish Swarm Optimization Bacterial Foraging Algorithm and Genetic Algorithm in Smart Grid.
Abstract
Energy crises are serious issues due to exponential increase in demand of energy. To tackle the issue of increase in demand, an integration of traditional grid with Demand Side Management (DSM). As need to resolve energy crises issues in residential areas smart homes are introduced; contains Smart Meters (SM), which allows bidirectional communication between utilities and end users. Different heuristic techniques are used to overcome these issues. The energy management is more necessary in residential area as there is verity of different appliances and power rates to schedule. The heuristics techniques provide most optimal solution. The purpose of our implementation is to reduce the total cost and Peak to Average Ratio (PAR) value and while keeping in mind the trade-off with waiting time up to an acceptable limit.
Year
DOI
Venue
2017
10.1007/978-3-319-69811-3_51
ADVANCES ON BROAD-BAND WIRELESS COMPUTING, COMMUNICATION AND APPLICATIONS, BWCCA-2017
Field
DocType
Volume
Energy management,Heuristic,Mathematical optimization,Smart grid,Swarm behaviour,Computer science,Residential area,Heuristics,Genetic algorithm,Grid
Conference
12
ISSN
Citations 
PageRank 
2367-4512
0
0.34
References 
Authors
7
7
Name
Order
Citations
PageRank
Shahab Ali100.34
Samia Abid212.71
Zain Ul Abideen313.05
Saman Zahoor4123.29
Itrat Fatima513.75
Zunaira Nadeem603.38
Nadeem Javaid71043222.46