000183853 001__ 183853
000183853 005__ 20190619003318.0
000183853 0247_ $$2doi$$a10.5075/epfl-thesis-5673
000183853 02470 $$2urn$$aurn:nbn:ch:bel-epfl-thesis5673-8
000183853 02471 $$2nebis$$a7615491
000183853 037__ $$aTHESIS
000183853 041__ $$aeng
000183853 088__ $$a5673
000183853 245__ $$aProbabilistic Bottom-up Modelling of Occupancy and Activities to Predict Electricity Demand in Residential Buildings
000183853 269__ $$a2013
000183853 260__ $$bEPFL$$c2013$$aLausanne
000183853 336__ $$aTheses
000183853 502__ $$aA. Schleiss (président), M. Bierlaire, R. Korsholm Andersen, R. Madlener
000183853 6531_ $$aBuilding simulation
000183853 6531_ $$aBehavioural modelling
000183853 6531_ $$aResidential occupancy
000183853 6531_ $$aLoad profile of electricity usage
000183853 6531_ $$aMarkov process
000183853 6531_ $$aDiscrete choice modelling
000183853 6531_ $$aSurvival analysis
000183853 6531_ $$aPrincipal components
000183853 700__ $$0242614$$g191960$$aWilke, Urs
000183853 720_2 $$aScartezzini, Jean-Louis$$edir.$$g106368$$0240706
000183853 720_2 $$aHaldi, Frédéric$$edir.$$g172243$$0240210
000183853 8564_ $$uhttps://infoscience.epfl.ch/record/183853/files/EPFL_TH5673.pdf$$zn/a$$s2971484$$yn/a
000183853 909C0 $$xU10262$$0252072$$pLESO-PB
000183853 909CO $$pthesis-public$$pDOI$$pENAC$$ooai:infoscience.tind.io:183853$$qGLOBAL_SET$$pthesis$$pthesis-bn2018$$qDOI2
000183853 917Z8 $$x108898
000183853 917Z8 $$x128933
000183853 917Z8 $$x194044
000183853 917Z8 $$x194044
000183853 917Z8 $$x194044
000183853 917Z8 $$x194044
000183853 917Z8 $$x194044
000183853 917Z8 $$x108898
000183853 917Z8 $$x108898
000183853 917Z8 $$x108898
000183853 918__ $$dEDEN$$cIIC$$aENAC
000183853 919__ $$aLESO-PB
000183853 920__ $$b2013$$a2013-2-21
000183853 970__ $$a5673/THESES
000183853 973__ $$sPUBLISHED$$aEPFL
000183853 980__ $$aTHESIS