Paths, Proofs, and Perfection: Developing a Human-Interpretable Proof System for Constrained Shortest Paths

Rolling-Horizon Simulation Optimization For A Multi-Objective Biomanufacturing Scheduling Problem

On the applicability of single-line equivalents on optimal operation of modern unbalanced distribution networks

Benchmarking surrogate-based optimisation algorithms on expensive black-box functions

Necessary and Sufficient Conditions for Optimal Decision Trees using Dynamic Programming

Moving Trains like Pebbles: A Feasibility Study on Tree Yards

“How sweet are your strawberries?”: Predicting sugariness using non-destructive and affordable hardware

Fair and Optimal Decision Trees: A Dynamic Programming Approach

GridPenguin: A District Heating Network Simulator

Unlocking the Flexibility of District Heating Pipeline Energy Storage with Reinforcement Learning

Increasing the effectiveness of the capacity usage at rolling stock service locations

Surrogate DC Microgrid Models for Optimization of Charging Electric Vehicles under Partial Observability

Deep Reinforcement Learning for Active Wake Control

Unlocking the Flexibility of District Heating Pipeline Energy Storage with Reinforcement Learning

On the impact of linkage learning, gene-pool optimal mixing, and non-redundant encoding on permutation optimization

AI as an accelerator of the energy transitition: Opportunities for a carbon-free energy system

Stochastic bidding of volume and price in constrained energy and reserve markets

Demand response: For congestion management or for grid balancing?

Electricity Markets for DC Distribution Systems: Locational Pricing Trumps Wholesale Pricing

Single-machine scheduling with release times, deadlines, setup times, and rejection