Tackling societal challenges with algorithmics I feel honoured, appreciated, proud and above all happy with my appointment as full professor on Algorithmics for Planning and Scheduling at TU Delft. A big thank you to all who I have worked with and who have supported me! I’d like to use this …
Deep reinforcement learning is an AI technique for choosing how to act in different situations repeatedly occurring over time. It has shown tremendous success in playing games, such as ATARI video games, chess, Go, and StarCraft, going as far as beating professional human players. While games present certain interesting scientific …
First, these problems can all be modeled as a single-machine scheduling problem with release times, deadlines, time/sequence dependent setup times, and rejection, which is strongly NP-hard. Second, most instances are solved either best or fastest with one of our new algorithms! Some instances have been solved by us to optimality …
Every study about the energy transition stresses the importance of the role of flexible demand of electricity: when electricity comes from sun or wind, it needs to be used at those moments when it is available (as electricity is difficult to store for later use). A second use of the …
This time I posted an article on LinkedIn, celebrating the successful completion of our project on Future-Proof Flexible Charging.
I was interviewed by Martijn Engelsman for a blog post on the website of our faculty on algorithms. I explained my vision on “A fair energy transition”. Mark Prins took my picture. Please see here for the complete blog.
Longjian Piao works on market design for DC distribution grids. Such grids are currently used only within single buildings, greenhouses, for street lamps, and on ships, but the rise of distributed generation (e.g. by solar panels) makes it interesting to also consider DC grids with multiple generators and users. If …
This was the first time I acted as a promotor after having been co-promotor several times. I was very happy it happened to be Frits. Together with him we started the work on the use of artificial intelligence in smart grids. His thesis on Resource-constrained Multi-agent Markov Decision Processes is …