The state of advanced measurement and verification technology and industry application
Abstract
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.
- Authors:
-
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- BonneVille Power Administration; USDOE
- OSTI Identifier:
- 1436341
- Alternate Identifier(s):
- OSTI ID: 1495874
- Grant/Contract Number:
- AC02-05CH11231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Electricity Journal
- Additional Journal Information:
- Journal Volume: 30; Journal Issue: 8; Journal ID: ISSN 1040-6190
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; Advanced M&V; M&V 2.0; Baseline modeling; Goodness of fit; Utility efficiency programs; Analytics technology
Citation Formats
Granderson, Jessica, and Fernandes, Samuel. The state of advanced measurement and verification technology and industry application. United States: N. p., 2017.
Web. doi:10.1016/j.tej.2017.08.005.
Granderson, Jessica, & Fernandes, Samuel. The state of advanced measurement and verification technology and industry application. United States. https://doi.org/10.1016/j.tej.2017.08.005
Granderson, Jessica, and Fernandes, Samuel. Thu .
"The state of advanced measurement and verification technology and industry application". United States. https://doi.org/10.1016/j.tej.2017.08.005. https://www.osti.gov/servlets/purl/1436341.
@article{osti_1436341,
title = {The state of advanced measurement and verification technology and industry application},
author = {Granderson, Jessica and Fernandes, Samuel},
abstractNote = {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.},
doi = {10.1016/j.tej.2017.08.005},
journal = {Electricity Journal},
number = 8,
volume = 30,
place = {United States},
year = {Thu Sep 28 00:00:00 EDT 2017},
month = {Thu Sep 28 00:00:00 EDT 2017}
}
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Works referenced in this record:
Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption
journal, July 2017
- Ahmad, Muhammad Waseem; Mourshed, Monjur; Rezgui, Yacine
- Energy and Buildings, Vol. 147
An ensemble learning framework for anomaly detection in building energy consumption
journal, June 2017
- Araya, Daniel B.; Grolinger, Katarina; ElYamany, Hany F.
- Energy and Buildings, Vol. 144
Measurement and verification of building systems under uncertain data: A Gaussian process modeling approach
journal, June 2014
- Burkhart, Michael C.; Heo, Yeonsook; Zavala, Victor M.
- Energy and Buildings, Vol. 75
Building energy information systems: synthesis of costs, savings, and best-practice uses
journal, February 2016
- Granderson, Jessica; Lin, Guanjing
- Energy Efficiency, Vol. 9, Issue 6
Development and application of a statistical methodology to evaluate the predictive accuracy of building energy baseline models
journal, March 2014
- Granderson, Jessica; Price, Phillip N.
- Energy, Vol. 66
Automated measurement and verification: Performance of public domain whole-building electric baseline models
journal, April 2015
- Granderson, Jessica; Price, Phillip N.; Jump, David
- Applied Energy, Vol. 144
Accuracy of automated measurement and verification (M&V) techniques for energy savings in commercial buildings
journal, July 2016
- Granderson, Jessica; Touzani, Samir; Custodio, Claudine
- Applied Energy, Vol. 173
Gaussian process modeling for measurement and verification of building energy savings
journal, October 2012
- Heo, Yeonsook; Zavala, Victor M.
- Energy and Buildings, Vol. 53