Aclara Load Research & Forecasting

Accurate and reliable load profiling, forecasting and settlement

Aclara Load Research & Forecasting is a robust load forecasting and settlement system that uses sophisticated, statistically based profiling methodologies to generate highly accurate interval load forecasts and backcasts, without the need for ubiquitous interval metering. It has become the leading commercial solution for load profiling and aggregation, used in open access markets in North America, Europe and Australia, by utilities, transmission companies, system operators, and competitive suppliers.

The effectiveness of Aclara Load Research & Forecasting is based on a combination of accurate load profiling, flexible data handling, high scalability, and a user interface that enables users to easily control the process, including quickly establishing all necessary logic with no programming. The result – quick and accurate near-term, mid-term and long-term load forecasts and load and capacity settlements that conform to any market rules.

Sophisticated Load Profiling Engine

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Aclara Load Research & Forecasting’s unparalleled functionality enables you to:

  • Choose from among numerous profiling representations, including: hourly and daily weather sensitive, day type, proxy day, Julian sort, multivariate regression, net system load shape.
  • Configure profiling methodologies with multiple options for regression analysis, cluster analysis, and weather scenarios.
  • Designate "dynamic" profiles that use actual meter data when available.
  • Refine "best-fit" regressions with point-and-click functionality for redefining breakpoints or converting data points to outliers.

Robust and Flexible Load Aggregation

Aclara Load Research & Forecasting provides maximum flexibility and accuracy by allowing you to:

  • Create load forecasts and backcasts in intervals ranging from daily to sub-hourly and for schedule lengths ranging from one day to several years.
  • Calculate load "as-of" any date for individual customers and in aggregate by geographic region, supplier, rate schedule, customer class, or any other aggregation entity.
  • Apply perpetual, yearly, monthly, daily, and/or hourly loss factors, and specific loss estimates to model distribution and transmission losses.
  • Reconcile "bottom up" load aggregations with upstream system metering points, and distribute unaccounted for energy (UFE) back through the system.
  • Schedule automatic load forecast runs on a user-defined timeframe.