From a utility perspective, multi-family residences are often overlooked by energy efficiency programs. Thanks to Res-Intel’s benchmarking software, a major California utility can now easily identify opportunities for multi-family buildings …
These images demonstrate how Res-Intel can assist with Mass Scale benchmarking of buildings using LA County as an example.
Data always speaks and is always predictive. Seigel (2013) notes that this “data effect” is a leap of faith for organizations to take prior to engaging in predictive analytics. They …
Human societies are discovering ever-increasing vulnerabilities to water scarcity. A recent study by the Earth Institute documents the problems by county in the US. We at Res-Intel believe that water …
Cost-effectiveness of each program can be improved through predictive analytics with the net effect of the actionable insights: of who to target with what incentive. Utilities can re-purpose their existing …
Res-Intel is designed to provide actionable insights to improve utility profitability, customer satisfaction, and operational effectiveness. Residential Demand Side Management (DSM) programs represent fantastic opportunities for improving customer satisfaction and …
The Res-Intel software uses building energy regression modeling to develop end use energy intensity metrics for each single family residence in a utility service territory. The Home Energy Intensity (HIS) …
Res-Intel Software’s advanced analytic algorithms perform large-scale residential energy and water benchmarking that improves the profitability and efficiency of demand side management programs outcomes. Energy Data Management Upload clean utility …