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Title: The state of advanced measurement and verification technology and industry application

Journal Article · · Electricity Journal
 [1];  [1]
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
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With the expansion of advanced metering and increased use of energy analytics tools, the energy efficiency community has begun to explore the application of advanced measurement and verification (or ‘M & V 2.0') technologies. Current literature recognizes their promise, but does not offer in-depth assessment of technical underpinnings. Here, this paper assesses the state of the technology and its application. Sixteen commercially available technologies were characterized and combined with a national review of their use.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
BonneVille Power Administration; USDOE
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1436341
Alternate ID(s):
OSTI ID: 1495874
Journal Information:
Electricity Journal, Vol. 30, Issue 8; ISSN 1040-6190
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

References (8)

Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption journal July 2017
An ensemble learning framework for anomaly detection in building energy consumption journal June 2017
Measurement and verification of building systems under uncertain data: A Gaussian process modeling approach journal June 2014
Building energy information systems: synthesis of costs, savings, and best-practice uses journal February 2016
Development and application of a statistical methodology to evaluate the predictive accuracy of building energy baseline models journal March 2014
Automated measurement and verification: Performance of public domain whole-building electric baseline models journal April 2015
Accuracy of automated measurement and verification (M&V) techniques for energy savings in commercial buildings journal July 2016
Gaussian process modeling for measurement and verification of building energy savings journal October 2012

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Related Subjects

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
Advanced M&V
M&V 2.0
Baseline modeling
Goodness of fit
Utility efficiency programs
Analytics technology