Open AccessAssessment of Automated Measurement and Verification (M&V) Methods
Author(s) -
Jessica Granderson,
Samir Touzani,
Claudine Custodio,
Michael D. Sohn,
Samuel Fernandes,
David Jump
Publication year - 2015
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Reports
DOI - 10.2172/1236174
Subject(s) - baseline (sea) , energy (signal processing) , computer science , reliability engineering , data mining , statistics , engineering , mathematics , geology , oceanography
This report documents the application of a general statistical methodology to assess the accuracy of baseline energy models, focusing on its application to Measurement and Verification (M&V) of whole-building energy savings.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom