Load Analysis Membership Services (LAMS)

Load Analysis Membership Services (LAMS)

AEG supports utilities with a staff of experts in assessing customer behavior and the impacts that behavior can have on utilities. Our staff has decades of experience in load research, forecasting, market research and statistical modeling. AEG can help you:

  • Understand and analyze specific load research and forecasting issues, such as resolving sample design challenges, assessing impacts of dynamic pricing, and exploring the interaction between various efforts, like energy efficiency and demand response.
  • Stay abreast of best practices in the industry on topics such as peak time rebates and demand response program design.
  • Train utility staff on approaches and techniques related to load research, forecasting and load analysis.
  • Provide effective support to program design and impact evaluation efforts.
  • Help answer questions from senior management or other departments on a wide range of topics.

AEG’s Load Analysis Service enables utilities to take advantage of our expert staff in a number of ways:

  • Unlimited Inquiry Access
    Email or telephone with questions and our experts will deliver resources and opinions to help you resolve an issue or accomplish an objective. Responses are typically delivered within 48 hours.
  • In-depth Research Reports
    4 to 6 reports with analysis, case studies, and conclusions on key issues. Topics are chosen based on input from you, our clients.
  • Workshop on Research Results
    AEG will prepare and deliver a half-day workshop of research findings. Topics are agreed by the member utility and AEG. These interactive workshops allow for discussion among AEG and utility staff. (Optional: Workshops may be held onsite.)

Each deliverable above is designed to ensure that your company obtains customized guidance on key topics. This service enables utilities to take advantage of expert guidance at a shared and consequently very low cost.

Recently Completed Research Samples

  • Implications of Increasing Solar Penetrations in the Utility Industry
    In response to solar initiatives, especially in the western part of the U.S., the penetration of rooftop solar customers is rising rapidly and some utilities anticipate a nearly 100% increase in residential solar in the next year. In this report we discuss how growing solar penetrations are affecting load research, the potential implications for ratepayers and rate design, and finally how the variability of solar production can potentially disrupt the distribution system. We interviewed researchers that are dealing with this situation and investigated different approaches for dealing with these customers with dramatically different load shapes in the load research sample and rate class populations.
  • Estimating Missing Interval Data – How Best to Fill Gaps
    Almost everyone doing load research does some type of load data editing, usually filling gaps in the data or correcting clearly erroneous intervals. To assess several different methods of estimating filled values, we artificially created missing data of various gap lengths using actual 15-minute residential load data. The data methods examined include Mean and Linear Interpolation techniques, estimating missing values using day type averages, and three methods using the EXPAND procedure built into SAS. Because we have the original data for the missing intervals, we were able to assess the accuracy and bias associated with each filling technique across gaps of different lengths. We summarize how the various methods performed for different gap lengths, and make recommendations for practitioners dealing with interval data problems.
  • Smart Grid Pricing Pilots - What Did We Get for Our Money?
    The Federal government made a large investment in Smart Grid Investment Grant (SGIG) Consumer Behavior Studies funded through the DOE. In this report, we attempt to answer the question: "What did we get for our money?" We review the SGIG Consumer Behavior studies that are currently being conducted or have recently been completed. These studies examine the response of residential and small commercial customers to time-based rate programs that are implemented in conjunction with the deployment of AMI and customer systems such as IHDs and PCTs. The report includes brief descriptions of the pilots being conducted, highlights key findings from pilot experiences to date, and provides a set of recommendations based on the lessons learned from these pilots.

For more information, please contact:

Tulsi Shah