Dr. Elise de Doncker
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.
WMU ScholarWorks Citation
Alrizq, Mesfer, "Human Behavior Modeling for Residential Energy Consumption" (2018). Research and Creative Activities Poster Day. 296.
Available for download on Tuesday, April 16, 2019