Variables Accounting for Energy Use Predictions

Advanced Analytics

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 …

US – Water stress from 1949-2009

Water Conservation

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 Different Energy Programs

Improved Profitability

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 …

Participation in Energy Efficiency Programs

Designed to Provide Actionable Insights

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 …

Use of Energy Efficient Utilities by House Age

Understanding Home Energy Ratings

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: Business Intelligence for Smart Utilities

Residential Energy and Water Intelligence Software

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 …