Home Energy Metering Study Data Standardization and Peak Load Analysis

The Home Energy Metering Study (HEMS) collected one-minute, circuit-level energy use data from more than 400 homes across the Northwest between 2018 and 2026, resulting in a dataset of more than 14 billion data points. The HEMS Data Standardization and Peak Load Analysis, prepared by Resilient Edge and Linden Clean Energy, draws on data from the HEMS dataset and was developed to meet two primary objectives:

1. Standardize and organize HEMS dataset: Improve data access and reduce barriers to future use of HEMS data by making standardized data and supporting methods available. This resulted in a set of standardized and formatted data tables designed for use in future HEMS analysis.
2. Demonstrate the usefulness of the HEMS data: Support planning analysis by creating scenarios that examine potential increases in peak load associated with changes in the use of electric appliances in the residential sector across a number of different energy-using technologies. The analysis estimated potential impacts of two different peak period scenarios. First, potential impacts were simulated on the regional grid associated with increased use of residential electric space-conditioning and domestic hot water systems. Second, weather-regression models were used to estimate changes in end-use load profiles under hypothetical systematic shifts in ambient temperatures relative to typical weather conditions.

Together, this work improves access to the HEMS dataset while illustrating how the data can be applied to real‑world planning questions related to residential energy use and peak load impacts. The standardized HEMS data is publicly available in 15‑minute intervals at neea.org/EULR, and readers are encouraged to review the accompanying HEMS Report, published alongside this analysis, to see updated load shapes found using HEMS data across a number of technologies.