Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Recherche

Afficher tous les résultats pour

Accueil

Personne

Urs Wilke

Cette personne a quitté l’EPFL

À propos
Confidentialité
Mentions légales

Graph Chatbot

Publications associées (6)

Page 1 sur 1

CITYSIM simulation: the case study of Alt-Wiedikon, a neighbourhood of Zürich City

Darren Robinson, Jérôme Henri Kämpf, Urs Wilke, Diane Perez, Maria Papadopoulou

As research in building energy demand simulation is reaching maturity, there is now a growing interest in the evaluation of the energy need of larger and/or pre-existing urban areas [1, 2, 3], to evaluate the energy performance associated with alternative ...

EPFL2011

From the neighbourhood to the city : resource flow modelling for urban sustainability

Philippe Leroux, Darren Robinson, Jérôme Henri Kämpf, Frédéric Haldi, Urs Wilke, Diane Perez

Agreed intergovernmental targets to reduce the emission of greenhouse gases due to predominantly urban anthropogenic activities are becoming increasingly stringent; one might even say ambitious. One crucial strategy in achieving these targets will be to im ...

EPFL2009

A bottom-up stochastic model to predict building occupants' time-dependent activities

Jean-Louis Scartezzini, Darren Robinson, Frédéric Haldi, Urs Wilke

A bottom-up modelling approach together with a set of calibration methodologies is presented to predict residential building occupants' time-dependent activities, for use in dynamic building simulations. The stochastic model to predict activity chains is c ...

Elsevier2013

Urs Wilke

Graph Chatbot

CITYSIM simulation: the case study of Alt-Wiedikon, a neighbourhood of Zürich City

From the neighbourhood to the city : resource flow modelling for urban sustainability

A bottom-up stochastic model to predict building occupants' time-dependent activities

Multi agent simulation of occupants' presence and behaviour

Energy modelling of city housing stock and its temporal evolution

Probabilistic Bottom-up Modelling of Occupancy and Activities to Predict Electricity Demand in Residential Buildings