000183853 001__ 183853
000183853 005__ 20190316235552.0
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__ $$a2013
000183853 260__ $$aLausanne$$bEPFL$$c2013
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__ $$0242614$$aWilke, Urs$$g191960
000183853 720_2 $$0240706$$aScartezzini, Jean-Louis$$edir.$$g106368
000183853 720_2 $$0240210$$aHaldi, Frédéric$$edir.$$g172243
000183853 8564_ $$s2971484$$uhttps://infoscience.epfl.ch/record/183853/files/EPFL_TH5673.pdf$$yn/a$$zn/a
000183853 909C0 $$0252072$$pLESO-PB$$xU10262
000183853 909CO $$ooai:infoscience.tind.io:183853$$pthesis-bn2018$$pDOI$$pENAC$$pthesis$$qDOI2$$qGLOBAL_SET
000183853 917Z8 $$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 $$x108898
000183853 918__ $$aENAC$$cIIC$$dEDEN
000183853 919__ $$aLESO-PB
000183853 920__ $$a2013-2-21$$b2013
000183853 970__ $$a5673/THESES
000183853 973__ $$aEPFL$$sPUBLISHED
000183853 980__ $$aTHESIS