Predictive heating controller using stochastic weather prediction
Project leader: Prof. Jean-Louis Scartezzini
Collaborator: Marie Nygard , François Bochud
Duration and funding: 1989-1991, NEFF (National Foundation for Energy Resarch), EPFL
In order to find the optimal command sequence for the next time horizon (typically 6 or 12 hours), a dynamic programming algorithm finds the minimal cost function integrated over the time horizon. The cost function takes into account both the thermal comfort (when the user is present) and the heating energy used.
Printed copies of the final report available from leso-pb[at]epfl.ch