Dr. Andrea N. Ceretani

Postdoctoral fellow

Institut für Mathematik, Humboldt-Universität zu Berlin
Rudower Chausse 25, Johann von Neumann-Haus
12489 Berlin
+49 (0) 30 2093 5497

Research focus

Nonlinear Partial Differential Equations

Projects as a member

  • SE19

    Optimal Network Sensor Placement for Energy Efficiency

    Dr. Carlos Rautenberg

    Project heads: Dr. Carlos Rautenberg
    Project members: Dr. Andrea N. Ceretani
    Duration: 01.06.2017 - 31.12.2018
    Status: running
    Located at: Humboldt Universität Berlin


    The estimation of the temperature and airflow distribution in buildings via the location of sensor networks is a nonlinear and multiscale problem where dynamics and measurements are (in general) stochastically perturbed. The goal here is to reliably outline temperature and airflow in certain areas by placing sensors on prescribed admissible locations while optimizing several criteria. A trustworthy estimation, provided that closed-loop controllers are in place, becomes a main step in reducing the energy consumption of such control systems.


Projects as a guest