TY - GEN
T1 - Adaptive Building Electric Load Profiling
AU - Cantor, Ethan S.
AU - Riddell, William T.
AU - Everett, Jess W.
AU - Li, Jie
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85179556466&partnerID=8YFLogxK
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U2 - 10.1109/NAPS58826.2023.10318745
DO - 10.1109/NAPS58826.2023.10318745
M3 - Conference contribution
AN - SCOPUS:85179556466
T3 - 2023 North American Power Symposium, NAPS 2023
BT - 2023 North American Power Symposium, NAPS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 North American Power Symposium, NAPS 2023
Y2 - 15 October 2023 through 17 October 2023
ER -