The Graph-Based Optimization Modeling Language (GBOML)
The decarbonisation of energy systems is one of the main challenges of our century. Finding the optimal technological mix to achieve that goal is a major concern for policy and decision makers alike. These problems [...]
Job offers – Research positions in Machine Learning/Optimisation for Energy Systems
The research positions are about combining modelling, simulation, optimisation, and machine learning techniques in order to investigate several technical, economic and regulatory aspects induced by major upcoming changes in energy (and in particular, electricity) generation, [...]
Gym-ANM: Reinforcement learning environments for active network management tasks in electricity distribution systems
Download the paper Summary: Active network management (ANM) of electricity distribution networks include many complex stochastic sequential optimization problems. These problems need to be solved for integrating renewable energies and distributed storage into future electrical [...]
Remote Renewable Hubs for Carbon-Neutral Fuel Production
Decarbonising sectors such as aviation, heating and industry has proved difficult via direct electrification. Hence, the synthesis of carbon-neutral fuels and feedstocks from renewable electricity has received much attention in recent years. However, in European [...]
Sector coupling for the energy transition: the case of the Dutch energy system
The topic of sector coupling and the role it may play in the energy transition has recently received a great deal of attention in European energy policy circles. In particular, power-to-gas technologies, which enable the [...]
