Prosjekter
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Ekspertise
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Publikasjoner
- A hierarchical framework for minimising emissions in hybrid gas-renewable energy systems under forecast uncertainty
- Faster decarbonization of heavy industries in low-carbon power grids: using process flexibility for handling grid congestions Les publikasjonen
- Complementarity-constrained predictive control for efficient gas-balanced hybrid power systems
- Regional Capacity Expansion Planning of Electricity and Hydrogen Infrastructure: A Norwegian Case Study
- Estimation of Long-term Power Demand of Oil and Gas Installations using Hybrid Models
- Probabilistic forecasting-based stochastic nonlinear model predictive control for power systems with intermittent renewables and energy storage
- Decarbonizing the European energy system in the absence of Russian gas: Hydrogen uptake and carbon capture developments in the power, heat and industry sectors
- Hydrogen for harvesting the potential of offshore wind: A North Sea case study Les publikasjonen
- Reference optimisation of uncertain offshore hybrid power systems with multi-stage nonlinear model predictive control Les publikasjonen
- Integrated design and operational optimization of energy systems in dairies
Annen formidling
- Industrifleksibilitet: Et kraftgrep for billigere strømregning og fremtidens kraftnett
- Integrated energy system planning under multi-timescale uncertainty: Modelling and algorithms
- Complementarity-constrained predictive control for efficient gas-balanced hybrid power systems
- Flexible and modular energy systems modelling with JuMP - A case study from the Arctic
- Integrated energy system planning under short-term and long-term uncertainty: Modelling and algorithms
- Modelling and analysis of multi-timescale uncertainty in energy system planning
- ZEESA - Zero Emission Energy Systems for the Arctic
- Reference optimisation of uncertain offshore hybrid power systems with multi-stage nonlinear model predictive control
- Stochastic predictive control for power systems with intermittent renewables - A data-driven stochastic differential equations approach
- Forecasting and control in presence of uncertain intermittent renewables
