Demographic Information Incorporated Household Energy Consumption Analysis: Preprint

Research output: Contribution to conferencePaper

Abstract

The high energy consumption from residential buildings provides them large potential to participate in demand response programs. To design appropriate demand response programs for residential buildings, it is important for electric utilities to know the energy consumption characteristics for different types of households so that utilities can send requests to the groups with a higher possibility to successfully respond. In this paper, we develop a load model to generate synthetic load profiles for different types of households incorporating demographical information including Current Population Survey data set and American Time Use Survey data set. The details of each data set and the details of the load models are presented. The synthetic household load profiles are generated by the load model and clustered into different groups based on state, age, number of occupants, income level, and city of the household. The average energy consumption characteristics for different groups of households are analyzed and compared, which will help electric utilities issue demand response signals to appropriate households.
Original languageAmerican English
Number of pages8
StatePublished - 2023
Event2023 IEEE Power & Energy Society General Meeting - Orlando, Florida
Duration: 16 Jul 202320 Jul 2023

Conference

Conference2023 IEEE Power & Energy Society General Meeting
CityOrlando, Florida
Period16/07/2320/07/23

NREL Publication Number

  • NREL/CP-5D00-84640

Keywords

  • building loads
  • demand response
  • energy consumption
  • household
  • load profile

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