Van Hentenryck’s research in energy systems is concerned with novel optimization and machine learning techniques for a variety of applications in electricity networks, including optimal power flows, transmission expansion planning, line switching, and power restoration. Van Hentenryck also interested in gas networks and the joint optimisation of electricity and gas networks. See also the ARPA-E grid data project that aims at generating lifelong, high-fidelity data for power systems.

Recent Publications