The gold mine of energy efficiency program data

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Utility Energy Efficiency (EE) programs collect large amounts of data for a variety of reasons including evaluating program performance, estimating savings, calculating incentives, etc. This data contains a wealth of information about program participants, buildings, equipment, energy efficiency measures and expected savings. ICF has been mining these datasets using machine learning and advanced analytics techniques to extract new insights and trends that help improve the delivery of programs we implement on behalf of utilities. Further, this type of analysis can be used in real time to provide ongoing program improvements rather than waiting for a post-program analysis to improve subsequent iterations of programs.

Learn how EE program data analytics can help you improve program design and delivery, better target customers and enhance customer engagement.

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Meet the authors
  1. Haider Khan, Senior Director, Energy Analytics

    With nearly 20 years of experience, Haider applies advanced energy analytics to solve complex problems for utility clients. View bio

  2. David Meisegeier, Vice President and Senior Technical Director, Energy

    David helps innovate customer-centric energy programs that meet utilities’ current and future needs, with nearly 30 years of experience in the energy industry. View bio