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 [...]
An Artificial Intelligence Solution for Electricity Procurement in Forward Markets
Download the research paper Retailers and major consumers of electricity generally purchase a critical percentage of their estimated electricity needs years ahead on the forward markets. This long-term electricity procurement task consists of determining when [...]
Job offers – Research positions in Intelligent Power 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, [...]
An Application of Deep Reinforcement Learning to Algorithmic Trading
Download the research paper This research paper presents a novel deep reinforcement learning (DRL) solution to the decision-making problem behind algorithmic trading in the stock markets: selecting the appropriate trading action (buy, hold or sell [...]
A Deep Reinforcement Learning Framework for Continuous Intraday Market Bidding
Download the research paper This paper addresses a key issue in the context of the Energy Transition: the computation of trading strategies for valorizing storage units in markets with large renewable energy integration. In particular, [...]
