Res-Intel’s Benchmark.AI© software tool benchmarks building energy and water usage for millions of buildings. High-users can be micro-targeted with customized conservation and demand response programs. The software’s predictive analytics identify those high-usage residents with the highest probability of participating in the programs.
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 …
Res–Intel goes beyond predictive analytics by providing customized, specific recommendations that prescribe cost-effective Demand Side Management for each single family residence! Data always speaks and is always predictive. Seigel (2013) …
The images show how Res-Intel can assist with Mass Scale benchmarking of buildings using LA County as an example
Don’t let building energy benchmarking get stuck in the past.
This week, Res-Intel was one of a handful of California Energy Commissions awardees chosen to present at the virtual Electric Program Investment Charge (EPIC) forum.
Res-Intel has extended its geographical information system and artificial intelligence tools to identify low-income apartments that are predicted to qualify for subsidized energy efficiency retrofits.
From a utility perspective, multi-family residences are often overlooked by energy efficiency programs.
Res-Intel has released Energize!, an energy efficiency (EE) program that utilizes data-driven outreach and best-in-class behavioral strategies to save energy in the residential building sector.
The team at Residential Energy and Water Intelligence software is committed to providing best-in-class software to increase profits, improve demand side management programs, reduce the burden of energy bills on marginalized households, and protect the environment. We believe all this is possible through advanced analytics. We are dedicated to putting our customers and employees first.
Res-Intel is a wholly-owned subsidiary of Policy Consultants, Inc., an Oregon based company. Policy Consultants has been involved in the development of decision support software tools for the power sector since 2000, with the creation of the Clean Energy Planning Model© which has been used in the UK and in Oregon state to help stakeholders develop energy efficiency and renewable energy policies and programs.
The Res–Intel software platform was developed by Policy Consultants, Inc. and has been partially funded under the California Energy Commission’s Energy Innovation Small Grant (EISG) Program #57356A11/12 and #58076A/14-09G.
Hunter Johnson works with Res-Intel’s data scientist to generate analytics and interactive data visualizations. He is experienced in using econometric and machine learning methods to analyze socially important issues. Hunter is a Ph.D. candidate in Economics at Claremont Graduate University.
David Mueller is a graduate student studying Public Policy at the Hatfield School of Government at Portland State University. David is a Student Fellow of the Institute of Sustainable Solutions. David brings sound analytical skills to address environmental and energy policy challenges.
Ivana Osmanovic is a graduate student studying public policy at the Hatfield School of Government at Portland State University. Ivana has a background in program development, recruitment, and research. She is passionate about using analytics to contribute to equitable energy solutions.
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