A high level method to disaggregate electricity for cluster-metered buildings
Authors:
- 1 January 2016
- journal article
- research article
- Published by Elsevier in Energy and Buildings
- Vol. 111, 351-368
Abstract
No abstract availableKeywords
This publication has 20 references indexed in Scilit:
- Improved benchmarking comparability for energy consumption in schoolsBuilding Research & Information, 2013
- A review on the prediction of building energy consumptionRenewable and Sustainable Energy Reviews, 2012
- Review of building energy-use performance benchmarking methodologiesApplied Energy, 2011
- Validating electric use intensity in multi‐use buildingsJournal of Facilities Management, 2011
- A decision tree method for building energy demand modelingEnergy and Buildings, 2010
- Sector review of UK higher education energy consumptionEnergy Policy, 2008
- Predicting electricity energy consumption: A comparison of regression analysis, decision tree and neural networksEnergy, 2007
- Electricity use characteristics of purpose-built office buildings in subtropical climatesEnergy Conversion and Management, 2004
- Analysis of electricity and water end-uses in university campuses: case-study of the University of Bordeaux in the framework of the Ecocampus European CollaborationJournal of Cleaner Production, 2002
- Regression analysis of high-rise fully air-conditioned office buildingsEnergy and Buildings, 1997