Energy use intensity disaggregation in institutional buildings – A data analytics approach
Authors:
- Mikhak SamadiMSMikhak Samadi
- Javad FattahiJFJavad Fattahi
- 1 March 2021
- journal article
- research article
- Published by Elsevier in Energy and Buildings
- Vol. 235
Abstract
No abstract availableKeywords
This publication has 24 references indexed in Scilit:
- Application of fuzzy logic in lift energy efficiency classificationEnergy Efficiency, 2019
- A method to generate design-sensitive occupant-related schedules for building performance simulationsScience and Technology for the Built Environment, 2019
- Degree-day based non-domestic building energy analytics and modelling should use building and type specific base temperaturesEnergy and Buildings, 2017
- Sensitivity Analysis of Meteorological Parameters on Building Energy ConsumptionEnergy Procedia, 2017
- A high level method to disaggregate electricity for cluster-metered buildingsEnergy and Buildings, 2016
- Prediction of energy demand for heating of residential buildings using variable degree dayEnergy, 2014
- Estimating the energy consumption and power demand of small power equipment in office buildingsEnergy and Buildings, 2014
- Heating and cooling load frequency distributions implied by monthly building energy use modelsBuilding Services Engineering Research & Technology, 2012
- An application of the degree-hours method to estimate the residential heating energy requirement and fuel consumption in IstanbulEnergy, 2000
- Using a rule-based algorithm to disaggregate end-use load profiles from premise-level dataIEEE Computer Applications in Power, 1991