Showing 1–20 of 32 results
/ Date/ Name
Dec 17, 2022Modeling, scientific computing and optimal control for renewable energy systems with storageMar 10, 2020Short-Term Forecasting of CO2 Emission Intensity in Power Grids by Machine LearningFeb 25, 2019Stochastic Modelling of the Flow-Front Evolution in a Vacuum Assisted Resin Transfer Moulding Process with Missing DataOct 28, 2024Exploring reinforcement learning for incident response in autonomous military vehiclesMar 6, 2023Can occupant behaviors affect urban energy planning? Distributed stochastic optimization for energy communitiesJan 30, 2023Hierarchical learning, forecasting coherent spatio-temporal individual and aggregated building loadsOct 25, 2013Probabilistic Forecasts of Solar Irradiance by Stochastic Differential EquationsJun 22, 2015A Data-driven Bidding Model for a Cluster of Price-responsive Consumers of ElectricityOct 12, 2023Nash Equilibrium of Joint Day-ahead Electricity Markets and Forward Contracts in Congested Power SystemsFeb 8, 2023Structural hierarchical learning for energy networksOct 25, 2018A two-phase stochastic programming approach to biomass supply planning for combined heat and power plantsOct 25, 2018Operational planning and bidding for district heating systems with uncertain renewable energy productionJun 1, 2016ctsmr - Continuous Time Stochastic Modeling in RMay 11, 2020Control of heat pumps with CO2 emission intensity forecastsOct 25, 2018A novel bidding method for combined heat and power units in district heating systemsSep 27, 2021onlineforecast: An R package for adaptive and recursive forecastingFeb 9, 2024Optimal Forecast Reconciliation with Uncertainty QuantificationDec 6, 2023Adaptive flexibility function in smart energy systems: A linearized price-demand mapping approachMay 23, 2024Stability analysis of nonlinear stochastic flexibility function in smart energy systemsJan 29, 2025nabqr: Python package for improving probabilistic forecasts