Faculty Advisor

Dr. Elise de Doncker

Department

Computer Science

Presentation Date

Spring 4-12-2018

Document Type

Poster

Abstract

Electric utility companies are interested in load profile (electricity consumption) data for expansion planning. Conventional methods of collecting the load profile data, such as surveys and metering, are tedious and time consuming activities. Cumbersome data collection processes also pose barriers. We present an innovative behavior model for generating electricity consumption load profiles. The model, based on fuzzy logic and activity graphs, requires minimum consumer data and can be easily updated to adapt to changes in technology. We demonstrate the accuracy of our model against real world data.

Available for download on Tuesday, April 16, 2019

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