Aven Satre-Meloy
Investigating structural and occupant drivers of annual residential electricity consumption using regularization in regression models
University of Oxford
achieving reductions building electricity usage requires detailed characterization electricity consumption homes understanding drivers consumption inform strategies promoting conservation efficiency exist numerous approaches modeling building energy demand use regularization methods statistical models address challenges inherent building energy modeling also enabling accurate predictions better identification variables influence consumption paper applies five regularization techniques regression models original survey electricity consumption data one thousand households california finds elastic net two extensions lassogroup lasso adaptive lassooutperform approaches terms prediction accuracy model interpretability findings contribute methodological approaches modeling energy consumption buildings well understanding key drivers consumption paper shows structural factors predominate explaining annual electricity consumption patterns habitual actions taken save energy home important reducing consumption proenvironmental attitudes energy literacy implications improving building energy modeling informing demand reduction strategies discussed context lowcarbon transition