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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.
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
Project End Date
Program Information
Funding Organization
Department of Energy
Program Area
Emerging Technologies
Project Manager
Marina Sofos
Agreement Type
Funding Opportunity
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