Existing building retrofits: Methodology and state-of-the-art, Energy Build3] European Parliament Modeling of end-use energy consumption in the residential sector: A review of modeling techniques, Off. J. Eur. Union Dir. Renew. Sustain. Energy Rev, vol.55, issue.13, pp.889-902, 2009. ,
Djurovic-Petrovic, A review of bottomup building stock models for energy consumption in the residential sector, Build. Environ, vol.456, pp.1683-1697, 2010. ,
Building-stock aggregation through archetype buildings A differentiated description of building-stocks for a georeferenced urban bottom-up building-stock model, Energy Build, pp.270-282, 2014. ,
The influence of data quality on urban heating demand modeling using 3D city models, Computers, Environment and Urban Systems, vol.64, 2017. ,
DOI : 10.1016/j.compenvurbsys.2016.12.005
A methodology for the energy performance classification of residential building stock on an urban scale, Energy Build, 2012. ,
Assessment of retrofitting measures and solar systems' potential in urban areas using Geographical Information Systems: Application to a Mediterranean city, Renewable and Sustainable Energy Reviews, vol.16, issue.8, pp.6239-6261, 2012. ,
DOI : 10.1016/j.rser.2012.03.075
Estimating energy savings for the residential building stock of an entire city: A GIS-based statistical downscaling approach applied to Rotterdam, Energy and Buildings, vol.75, issue.11, pp.75-358, 2014. ,
DOI : 10.1016/j.enbuild.2014.02.032
Spatial distribution of urban building energy consumption by end use, Energy Build, pp.45-141, 2012. ,
Methods for Evaluating the Environmental Performance of Building Stocks, 2004. ,
A review of sensitivity analysis methods in building energy analysis, Renewable and Sustainable Energy Reviews, vol.20, pp.411-419, 2013. ,
DOI : 10.1016/j.rser.2012.12.014
Handling uncertainty in housing stock models, Building and Environment, vol.48 ,
DOI : 10.1016/j.buildenv.2011.08.016
Decision making under uncertainty in the retrofit analysis of the UK housing stock: Implications for the Green Deal, Energy Build Uncertainty and modeling energy consumption: Sensitivity analysis for a city-scale domestic energy model, Energy Build, pp.292-308, 2013. ,
A new methodology for investigating the costoptimality of energy retrofitting a building category, Energy Build, pp.456-478, 2015. ,
Global sensitivity analysis of an energy?economy model of the residential building sector, Environ. Model. Softw A review of urban energy system models: Approaches, challenges and opportunities, Renew. Sustain. Energy Rev, vol.70, issue.16, pp.45-54, 2012. ,
Comparison of regression techniques for surrogate models of building energy performance, ASHRAE IBPSA-USA SimBuild 2016 -Build. Perform. Model, Conf, pp.327-334, 2016. ,
State of the art in building modelling and energy performances prediction: A review, Renewable and Sustainable Energy Reviews, vol.23, 2013. ,
DOI : 10.1016/j.rser.2013.03.004
Advances in building simulation and computational techniques: A review between 1987 and 2014, Energy and Buildings, vol.128, pp.319-335, 1987. ,
DOI : 10.1016/j.enbuild.2016.06.080
A review on the prediction of building energy consumption, Renewable and Sustainable Energy Reviews, vol.16, issue.6, pp.3586-3592, 2012. ,
DOI : 10.1016/j.rser.2012.02.049
URL : https://hal.archives-ouvertes.fr/hal-00802029
Global Sensitivity Analysis, The primer, 2008. ,
DOI : 10.1002/9780470725184
URL : http://media.wiley.com/product_data/excerpt/74/04700599/0470059974.pdf
Sensitivity analysis techniques for building thermal simulation programs, Energy and Buildings, vol.19, issue.1, pp.21-44, 1992. ,
DOI : 10.1016/0378-7788(92)90033-D
Analysis of uncertainty in building design evaluations and its implications, Energy Build, pp.951-95810, 2002. ,
Applying uncertainty considerations to energy conservation equations, Energy Build, pp.1019-1026, 2007. ,
DOI : 10.1016/j.enbuild.2006.11.008
Uncertainty analysis of user behaviour and physical parameters in residential building performance simulation, Energy Build, 2014. ,
Variation of energy consumption in dwellings due to climate, building and inhabitants, Energy Build, pp.209-218, 1994. ,
District level energy management using a bottom-up modeling approach, Ninth Int. IBPSA Conf, pp.1385-1392, 2005. ,
Sensitivity analysis practice: A guide to scientific models, 2004. ,
DOI : 10.1002/0470870958
Factorial Sampling Plans for Preliminary Computational Experiments, Technometrics, vol.1, issue.2, pp.161-174, 1991. ,
DOI : 10.2307/1266468
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.584.521
Reconstructing building stock to replicate energy consumption data, Energy Build, pp.301-312, 2016. ,
DOI : 10.1016/j.enbuild.2015.10.001
From LCAs to Simplified Models: A Generic Methodology Applied to Wind Power Electricity, Environmental Science & Technology, vol.47, issue.3, 2012. ,
DOI : 10.1021/es303435e
URL : https://hal.archives-ouvertes.fr/hal-00771401
Towards Prospective Life Cycle Assessment: How to Identify Key Parameters Inducing Most Uncertainties in the Future? Application to Photovoltaic Systems Installed in Spain, Lect. Notes Comput. Sci. (Including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics, pp.8581-2014 ,
DOI : 10.1007/978-3-319-09150-1_51
URL : https://hal.archives-ouvertes.fr/hal-01019873
Assessing the prospective environmental impacts of photovoltaic systems based on a simplified LCA model, in: SETAC Eur, SETAC Eur. 24th Annu. Meet, pp.2014-2055 ,
A simplified model for the estimation of life-cycle greenhouse gas emissions of enhanced geothermal systems, Geothermal Energy, vol.13, issue.5 ,
DOI : 10.1016/j.rser.2008.08.004
URL : https://hal.archives-ouvertes.fr/hal-01074839
Characterisation factors for life cycle impact assessment of sound emissions, Science of The Total Environment, vol.468, issue.469, pp.468-469 ,
DOI : 10.1016/j.scitotenv.2013.07.080
Simulation and life cycle assessment of algae gasification process in dual fluidized bed gasifiers, Green Chem., vol.33, issue.135, pp.1793-1801, 2015. ,
DOI : 10.1016/0273-1223(96)00478-7
Uncertainty and global sensitivity analysis of road transport emission estimates, Atmospheric Environment, vol.38, issue.38, 2004. ,
DOI : 10.1016/j.atmosenv.2004.08.006
An integrated ???process modelling-life cycle assessment??? tool for the assessment and design of water treatment processes, The International Journal of Life Cycle Assessment, vol.220, issue.2???3, pp.1062-1070, 2013. ,
DOI : 10.1016/j.desal.2007.01.021
Formalization of a technical procedure for process ecodesign dedicated to drinking water treatment plants, Journal of Cleaner Production, vol.68, 2014. ,
DOI : 10.1016/j.jclepro.2014.01.011
URL : https://hal.archives-ouvertes.fr/hal-01268637
Sensitivity Analysis of Environmental Process Modeling in a Life Cycle Context: A Case Study of Hemp Crop Production, Journal of Industrial Ecology, vol.140, issue.1-2, pp.978-993, 2015. ,
DOI : 10.1007/s10681-004-4750-2
URL : https://hal.archives-ouvertes.fr/hal-01199422
Environmental Impact of Buildings???What Matters?, Environmental Science & Technology, vol.49, issue.16, pp.9832-9841, 2015. ,
DOI : 10.1021/acs.est.5b01735
Lemaître, A review on Global Sensitivity Analysis methods, in: Uncertain. Manag. Simulation- Optimization Complex Syst, pp.101-122 ,
Geospatial characterization of building material stocks for the life cycle assessment of end-of-life scenarios at the urban scale, Resources, Conservation and Recycling, vol.123, 2016. ,
DOI : 10.1016/j.resconrec.2016.07.003
A ? N° 99 Combining GIS-based statistical and engineering urban heat consumption models: Towards a new framework for multi-scale policy support, Energy Build, 2014. ,
Energy performance of buildings -Calculation of energy use for space heating and cooling, 2008. ,
Allometry in the Topologic St ructure of Architectural Spatial Systems, Ekistics, pp.36-270, 1973. ,
Wall area, volume and plan depth in the building stock, Building Research & Information, vol.36, issue.5-6, pp.455-467, 2009. ,
DOI : 10.1080/01446190600601966
Wie genau sind unsere Energiepässe?: Vergleich zwischen berechneter und gemessener Endenergie in 230 Wohngebäuden in Luxemburg Wie genau sind unsere Energiepässe?, Bauphysik, vol.36, pp.40-43, 2014. ,
https://www.r-project.org The effect of occupancy and building characteristics on energy use for space and water heating in Dutch residential stock, Energy Build, pp.1223-1232, 2009. ,
Eco-design of buildings using thermal simulation and life cycle assessment, Journal of Cleaner Production, vol.39, 2013. ,
DOI : 10.1016/j.jclepro.2012.08.041
URL : https://hal.archives-ouvertes.fr/hal-00769797
Citygml-Based 3D City Model for Energy Diagnostics and Urban Energy Policy Support, Proc. BS2013 13th Conf, pp.218-225, 2013. ,
A Large-scale Study on Predicting and Contextualizing Building Energy Usage, Proc. Conf ,
Heat demand estimation for different building types at regional scale considering building parameters and urban topography, Energy Procedia, pp.78-3403, 2015. ,
LCA of emerging technologies: addressing high uncertainty on inputs' variability when performing global sensitivity analysis, Science of The Total Environment, vol.578, pp.268-280, 2017. ,
DOI : 10.1016/j.scitotenv.2016.10.066
URL : https://hal.archives-ouvertes.fr/hal-01398080
Large Sample Properties of Simulations Using Latin Hypercube Sampling, Technometrics, vol.17, issue.2, pp.143-151, 1987. ,
DOI : 10.2307/3212960
Apache Spark: a unified engine for big data processing ,