Adaptive Building Electric Load Profiling

Ethan S. Cantor, William T. Riddell, Jess W. Everett, Jie Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Availability of fine granularity electricity consumption data is critical for building energy management and designing efficient electric retrofits. Methods have been developed for producing year-long hourly electric load profiles of residential and commercial buildings without the need of direct smart meter measurements, which may incur privacy, data inaccuracy, and security concerns. Many of these techniques are built upon monthly utility bills, some leveraging multiple time-of-use intervals. This work proposed an adaptive building electric load profiling technique, which improves upon the limitations of existing work by introducing a transition period that is not always included in the utility bills, while also considering the impacts of seasonal weather changes. The proposed profiling method is tested on a gas-heated building and a fully electric building. Results show the gas-heated building exhibits better profiling errors compared to the fully electric building, whose electric load is more sensitive to environmental temperature changes, resulting in error outside of the acceptable error threshold during shoulder seasons. However, this may be acceptable as shoulder seasons do not meaningfully impact electric retrofits.

Original languageEnglish (US)
Title of host publication2023 North American Power Symposium, NAPS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350315097
DOIs
StatePublished - 2023
Event2023 North American Power Symposium, NAPS 2023 - Asheville, United States
Duration: Oct 15 2023Oct 17 2023

Publication series

Name2023 North American Power Symposium, NAPS 2023

Conference

Conference2023 North American Power Symposium, NAPS 2023
Country/TerritoryUnited States
CityAsheville
Period10/15/2310/17/23

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization
  • Modeling and Simulation

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