Title :
Analysis and Methodology to Segregate Residential Electricity Consumption in Different Taxonomies
Author :
Hobby, John D. ; Shoshitaishvili, Alexander ; Tucci, Gabriel H.
Author_Institution :
Bell Labs., Alcatel-Lucent, Murray Hill, NJ, USA
fDate :
3/1/2012 12:00:00 AM
Abstract :
This work presents a two-stage model for the data analysis of electricity consumption. The first stage divides the consumption in two parts: weather- and illumination-related, and residual consumption, where weather-related consumption refers to heating, ventilation, and air conditioning (HVAC). Given the hourly total consumption, we obtain the hourly weather-related and illumination-related electricity consumption, and subtract this out to get residual consumption. The second stage of the model is a flexible, agent-based analytical tool that allows disaggregation of residual consumption into a sum of consumptions by different groups of appliances. This tool can be used for a variety of applications including an optimization of demand-side management and/or a development of a set of desirable patterns for schedules of electricity-related activities in households (within an acceptable range of course) in order to minimize negative effects of high peak demand.
Keywords :
HVAC; demand side management; domestic appliances; energy consumption; power distribution; HVAC; agent-based analytical tool; appliances; demand-side management optimization; electricity-related activities; heating ventilation and air conditioning; households; illumination-related electricity consumption; power distribution system; residential electricity consumption; residual consumption; taxonomies; Analytical models; Computational modeling; Electricity; Home appliances; Lighting; Mathematical model; Polynomials; Electricity consumption; RECS survey; smart grid; smart metering; time of use survey;
Journal_Title :
Smart Grid, IEEE Transactions on
DOI :
10.1109/TSG.2011.2167353