Paper Info
Title
EnerPlan: smart energy management planning for home users
Abstract
The impending energy crisis has driven up the cost of electricity at an exponential rate. Managing electric consumption thus has become a very crucial task especially for home consumers. In this paper we present EnerPlan, a non-intrusive method to aid consumers to reduce their energy cost by advising them a consumption plan for their devices. Our system builds consumer classes based on regional statistical data. Using these classes a target consumer's device load and distribution is inferred. This inferred data is used to construct a device usage plan. Following this plan can reduce the electric bill of the consumer. We use expert-based and auto-generated fuzzy rules to generate the planning. Results show that in absence of experts, planning through auto-generated is also useful. The results further demonstrate that the data prepared using the proposed approach can be used to save electricity and the plans generated by EnerPlan can reduce electricity bills of consumers.
Year
DOI
Venue
2012
10.1007/978-3-642-34481-7_66
ICONIP
Keywords
Field
DocType
target consumer,regional statistical data,smart energy management planning,home user,electricity bill,electric bill,consumption plan,auto-generated fuzzy rule,consumer class,device load,home consumer,device usage plan,smart grid,fuzzy system,energy management
Energy management,Smart grid,Electricity,Cost of electricity by source,Computer science,Simulation,Fuzzy logic,Operations research,Artificial intelligence,Device Usage,Fuzzy control system,Machine learning
Conference
Volume
ISSN
Citations 
7664
0302-9743
0
PageRank 
References 
Authors
0.34
7
4
Name
Order
Citations
PageRank
Usman Ali1378.68
Zeeshan Ali Rana2142.97
Fahad Javed3364.39
Mian Muhammad Awais4657.97