EPRI: Electric Power Research Insitute

Load Shape Library


Welcome to the EPRI Load Shape Library developed under Project Set P170A Analytical Frameworks for Year . The preceding version () was developed in the Year .

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, EPRI Program 170 A (End-Use Energy Efficiency and Demand Response Analytics) has developed an analytical framework with a web accessible database of best-available U.S. load data. The database includes end-use data aggregated over NERC regions, whole premise data aggregated over major cities and residential efficient technology measures aggregated by city, utility region and climate zone. Each of these have been acquired either through EPRI’s field pilots, regional utility studies (e.g., BPA’s Pacific Northwest RBSA) or through historical collaborative 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 the framework 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.