Res-Intel beat out considerable competition to become San Diego Gas and Electric’s (SDG&E) net metered energy consumption (NMEC) program evaluator. NMEC measures energy savings at the meter, as opposed to …
Building a better understanding of home energy efficiency in CA In May 2015, Res-Intel started working with Southern California Edison (SCE) to analyze the monthly electricity consumption of new single …
Over the past three months, Res-Intel participated in the Cascadia Cleantech Accelerator, a business accelerator program designed specifically for early-stage cleantech startups. The program, organized by CleanTech Alliance and VertueLab …
First-of-its-kind pilot program in Southern California promotes behavioral energy and water conservation using Res-Intel’s analytics Communities For Conservation (CfC) is a behavioral pilot program for selected multi-family properties in Los …
Res-Intel partners with Energy Star to offer the new Res-Intel Data Exchange© tool Res-Intel has partnered with Energy Star to increase accessibility and reduce labor time for users through its …
These images demonstrate how Res-Intel can assist with Mass Scale benchmarking of buildings using LA County as an example. [soliloquy id=”1145″]
RES-INTEL’S NEWEST PROJECT TO IMPROVE THE COST-EFFECTIVENESS OF RESIDENTIAL WATER CONSERVATION PROGRAMS Res-Intel’s newest project targets residential water efficiency. The project aims to eliminate the need for customer-supplied data for …
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 …
