• Generating scenarios from probabilistic short-term load forecasts via non-linear Bayesian regression 

      Löschenbrand, Markus; Gros, Sebastien; Lakshmanan, Venkatachalam (Chapter, 2021)
      In this paper we present a simple and intuitive method for fitting a non-linear Bayesian regression model on short-term load forecasts. Such models have been implemented via Bayesian neural networks, which are known for ...
    • Low-complexity Risk-averse MPC for EMS 

      Maree, Johannes Philippus; Gros, Sebastien; Lakshmanan, Venkatachalam (Chapter, 2021)
      A data-driven stochastic MPC strategy is presented as an EMS for the Skagerak Energilab microgrid. Uncertainties, introduced due to the intermittent nature of RES and load demands, are systematically incorporated into the ...