Innowatts Outperforms in Load Forecasting Trial

Innowatts, a leading energy SaaS platform that utilizes best-in-class artificial intelligence, announced that it has outperformed five other energy forecasters on most measures in an independent trial

The Electric Power Research Institute (EPRI), an independent, non-profit energy research group, tested nine short-term, building-level energy forecasting models from six vendors against real-world data collected across 12 months, from June 2019 to June 2020. Participants were tasked with generating hour-ahead, six-hour-ahead, day-ahead, and four-day-ahead building-level forecasts, based on hourly and historical load data, as well as site-specific information such as building size and type, location details, and electricity rate plans.

Recommended AI News: SS&C Announces SS&C Advent Insurance Marketplace

Innowatts’ three models outperformed the other six models, as well as a benchmark forecast that assumed energy use would simply hold steady from one hour to the next, with the lowest error across the full range of forecasting scenarios once missing uploads were excluded from error calculations. The forecasts were tested across three metrics (all hours, variable hours, and peak hours) and four horizons (hour ahead, six hours ahead, day ahead, and four days ahead).

Recommended AI News: Top 10 AWS News And Updates During The COVID-19 You Should Know About

During March and April 2020, businesses experienced unprecedented shifts in energy consumption due to nationwide “shelter-in-place” orders. During this period, the trial evaluated the load forecasts of 12 models over six commercial sites, and two of Innowatts’ models had the lowest error for all forecast horizons. All three of Innowatts models posted single-digit percentage error rates in all but three of the 24 test conditions, outperforming competitors’ models.

“These results provide further evidence of the strength of Innowatts’ AI-powered load forecasting models, which are continuously optimized based on usage data from more than 40 million meters from around the world,” says Innowatts CEO Siddhartha Sachdeva. “Accurate forecasting is essential for energy providers, and this trial demonstrates that AI-powered, meter-level data intelligence consistently delivers best-in-class predictions regardless of changes in weather or conditions.”

Recommended AI News: AI And Machine Learning Technologies At The Center Of The COVID-19 Contactless Economy