2023 Data (Information)

Data for: A data-driven approach for the disaggregation of building-sector heating and cooling loads from hourly utility load data

Hu, Yinbo; Waite, Michael; Patz, Evan; Xia, Bainan; Xu, Yixing; Olsen, Daniel; Gopan, Naveen; Modi, Vijay

This dataset provides the open-source load disaggregation model and source data accessed, organized and cleaned by the authors for the Energy Strategy Reviews article, "A data-driven approach for the disaggregation of building-sector heating and cooling loads from hourly utility load data." The model disaggregates hourly electricity usage into that for heating, cooling and temperature-independent electricity loads by estimating the response intensities of hourly electricity demands to weather conditions and building stock information, and is performed for all balancing authorities or load zones within the operation area of NYISO, ERCOT and CAISO where hourly electrical load data are available. The downloadable files are organized into two separate sections to minimize downloading time as per specific expected usages. "bldg_electrification.rar" contains all necessary scripts and input/output datasets for load disaggregation for a single year (2019 by default). "bastcasting_forecasting_additional.rar" contains extensions for backcasting utility load for a 10-year period (2010-2019) using the model results from "bldg_electrification.rar". Users that are interested in the backcasting study will have to combine sub-folders that have the same name with those in the "bldg_electrification.rar" folder before compiling any scripts.

Keywords: decarbonization; electrification; load disaggregation; building thermal load