Harnessing buildings’ operational diversity in a computational framework for high-resolution urban energy modeling
- 28 March 2017
- journal article
- research article
- Published by Springer Nature in Building Simulation
- Vol. 10 (6) , 1005-1021
Abstract
No abstract availableKeywords
This publication has 15 references indexed in Scilit:
- Modelling uncertainty in district energy simulations by stochastic residential occupant behaviourJournal of Building Performance Simulation, 2015
- Use of reference buildings to assess the energy saving potentials of the residential building stock: The experience of TABULA projectEnergy Policy, 2014
- NbClust: AnRPackage for Determining the Relevant Number of Clusters in a Data SetJournal of Statistical Software, 2014
- A supporting method for defining energy strategies in the building sector at urban scaleEnergy Policy, 2013
- Building typologies as a tool for assessing the energy performance of residential buildings – A case study for the Hellenic building stockEnergy and Buildings, 2011
- A review of bottom-up building stock models for energy consumption in the residential sectorBuilding and Environment, 2010
- Using building energy simulation and geospatial modeling techniques to determine high resolution building sector energy consumption profilesEnergy and Buildings, 2008
- Effort and effectiveness considerations in computational design evaluation: a case studyBuilding and Environment, 2005
- Model-Based Clustering, Discriminant Analysis, and Density EstimationJournal of the American Statistical Association, 2002
- Impact of energy efficiency measures on the CO2 emissions in the residential sector, a large scale analysisEnergy and Buildings, 2001