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Project Info COMPLETE Project Title

Residential NMEC Back-Casting Assessment

Project Number ET17SCE1080 Organization SCE End-use Whole Building Sector Residential Project Year(s) 2017 - 2019
Description
Cloud-based software incorporates historical customer energy usage and demand data, in any interval available (i.e., bi-monthly, monthly, hourly or sub-hourly), and combines this with weather data, to create predictive models of weather-normalized energy usage for every premise. These models can then be used for multiple purposes, ranging from estimating savings from DSM programs to identifying savings potential in constrained load pockets to monitoring possible high bill instances for customers. The evaluation will determine the effectiveness of the project platform and explore its potential to provide insight into the performance of both programs, using hourly interval usage data from program participants and a non-participant control group. Analysis will be further informed by other available information streams, such as work papers, impact evaluation documents, and program tracking data.
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The ETCC is funded in part by ratepayer dollars and the California IOU Emerging Technologies Program, the IOU Codes & Standards Planning & Coordination Subprograms, and the Demand Response Emerging Technologies (DRET) Collaborative programs under the auspices of the California Public Utilities Commission. The municipal portion of this program is funded and administered by Sacramento Municipal Utility District and Los Angeles Department of Water and Power.