Lyngby
Denmark
Technical University of Denmark
Data-driven modeling, MPC, solar thermal, District heating systems
Data-driven Modeling, MPC, solar thermal, district heating
Frigg, plan4EU, Demand response, Energy system optimisation, Power-to-heat
smart grid, Data-driven modeling, Load Forecasting, Demand Flexibility, Smart-meter data, Energy system planning
Energy flexibility, Flexibility function, District heating, Dynamic heat price, Building energy model, Peak load
Bayesian modelling, Energy Signature, Uncertainty quantification, Smart meter data, Heat Loss Coefficient, Probabilistic energy assessment
non-linear grey-box model, indoor temperature forecasting, dynamic indoor temperature asymmetry, model predictive control, space heating dynamics
Solvent-based carbon capture, stochastic grey-box modeling, maximum likelihood parameter estimation, system identification
