Appino, Riccardo RemoRiccardo RemoAppinoGonzález Ordiano, Jorge ÁngelJorge ÁngelGonzález OrdianoMunzke, NinaNinaMunzkeMikut, RalfRalfMikutFaulwasser, TimmTimmFaulwasserHagenmeyer, VeitVeitHagenmeyer2024-03-052024-03-052019In: Internationaler ETG-Kongress 2019 - Das Gesamtsystem im Fokus der Energiewende: 289-294 (2019)9783800749553https://hdl.handle.net/11420/46227Effective scheduling of the power exchange with an external grid is of interest for clusters of devices (including consumption, generation and storage) that aim to participate in energy markets. Scheduling is often performed by means of optimization-based algorithms considering uncertain forecasts of inflexible generation and consumption. In this paper, we assess the performance of a previously proposed scheduling algorithm—based on non-parametric probabilistic forecasts both in terms of power and energy—in a realistic industrial campus setting. Simulation results using real data from the KIT north campus underpin the applicability of the proposed algorithm.enDigital storageComputer SciencesMathematicsConference PaperOther