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Low-Cost Identification and Monitoring of Diverse MELs in Residential and Commercial Buildings with PowerBlade

This project will help address the challenge of identifying loads within the long tail of consumption by integrating the previously developed PowerBlade wireless AC plug-through meters to measure real, reactive, and apparent power with load monitoring based on extracting high-fidelity electrical waveform features to capture power profiles and automatically identify and categorize MELs in a scalable manner.

Program Information
Funding Organization: 
Department of Energy
Program Area: 
Emerging Technologies
Project Manager: 
Marina Sofos
Agreement Type: 
Funding Opportunity
Scope
Funded Performer: 
University of California-Berkeley
Partners (not funded): 
Lawrence Berkeley National Laboratory, National Renewable Energy Laboratory, CubeWorks, University of Michigan
Agreement Total: 
$2,250,000
Match Total: 
$250,000
Project Start Date: 
November 30, 2017
Project End Date: 
November 29, 2020
Project Details
Ongoing Initiative or Research Project: 
Research Project
Grid, Whole Building, or Technology: 
Technology
Technology Type: 
Other
Building Type: 
Single Family, Multifamily, Commercial
New or Existing: 
New, Existing
DR Focus?: 
No
Code/Standard Focus?: 
No
Locale
City: 
Berkeley
State: 
California