Res-Intel to investigate energy efficiency from California Advanced Homes Program Res-Intel’s latest project aims to compare monthly electricity consumption of single-family residential (SFR) homes that participated in Southern California Edison’s …
Res-Intel to integrate ArcGIS online platform, enabling users to create map and perform spatial analytics Res-Intel was recognized at the annual ESRI User Conference on July 21, 2015 for its …
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 …
