EPRI: Electric Power Research Insitute

Load Shape Library


Welcome to EPRI's Load Shape Library version , a load data platform and repository developed and updated by Program 170 – Customer Technologies with guidance from utility membership. The updated version supersedes the preceding version developed in .

The objective of the Load Shape Library is to facilitate the collection, use and functionality of a library of representative electric load shapes by climate zone, geography or by utility. Representative load shapes are a challenge to acquire due to the cost to collect end use level load data. While EPRI and the utility membership work towards acquiring national and regional statistically representative load data, the Load Shape Library serves to provide best-available U.S. end-use load data. The databases in the Load Shape Library include electric end-use data aggregated over NERC regions, whole premise electric data by U.S city, residential efficient electric technology measures end-use load data from the Pacific Northwest and EPRI’s Smart Breaker Project. Each of these have been acquired either through EPRI’s field pilots, regional collaborative utility studies (e.g., BPA’s Pacific Northwest RBSA) or through historical project activities such as the EPRI CEED (Center for End-Use Energy Data) PowerShape™ data of 2000-01. Until statistically-valid, representative load data by climate zone, class and building type are acquired, EPRI continues to revise and update the platform annually and populate the library with newer load data as available.

Key Findings

  • The Load Shape Library (LSL) presents best-available data which does not represent statistically-valid usage.
  • Accuracy and vintage of load data determine the value and risk for use in utility applications. Users should treat the LSL data as a sample reference. Confidence and precision levels of the data are unknown.
  • End-Use data from engineering models does not capture behavioral and other unobservable effects, thus rendering metered data as the preferred choice of the industry.
  • End-use metered data acquired through a statistical sampling frame is widely preferred. High cost and intrusive nature of sub metering on customers continue to be key deterrents to broader utility efforts.
  • EPRI’s collaborative research is focused on driving down the cost of end-use metering through innovative, non-intrusive metering alternatives. Disaggregation techniques like NILM (Non-Intrusive Load Monitoring) and Conditional Demand Analysis using AMI data are under research and pilot testing.
  • Other low-cost intrusive metering methods such as smart breaker panels and distributed sensors are also being researched.