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West Virginia University

Computer Aided Home Energy Management system

Abstract

dc:description.abstract

High prices are associated with the peak electricity demand and thus, price can be used as an indicator of power system condition in the peak load management programs. This paper investigates the potential of peak load management based on price-responsive load control for the residential sector. The Computer Aided Home Energy Management (CAHEM) system controls residential demand in response to the hourly market data including price, load and temperature data. A fuzzy demand controller incorporates customer preferences in determining operational settings of residential appliances. A prototype CAHEM system is demonstrated using X10 home networking technology. The aggregate level effects of the CAHEM system on peak load reduction are simulated for the Pennsylvania-New Jersey-Maryland market during the summer of 1999. The study also estimates the optimal level of large-scale adoption of the CAHEM system.

Degree

thesis:*
Name thesis:degree_name
MS
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Lane Department of Computer Science and Electrical Engineering
Year dc:date.available
2005

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Moholkar, Asawari A.
Contributors dc:contributor
  • Powsiri Klinkhachorn.

Subjects

dc:subject × 2

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:researchrepository.wvu.edu:etd-2641

Chain of custody

source
Harvested from
West Virginia University
Base URL
researchrepository.wvu.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Moholkar, Asawari A.. Computer Aided Home Energy Management system. Thesis thesis, 2005. https://doi.org/10.33915/etd.1638