5 citations · 5 across the 6 of their papers we have counts for
7 papers
Multiplicative Path Weights in Networks: From Katz Connectivity to Mean First-Passage Times
Robbert van der Burg, Bernd Heidergott, Thao Le +1
Signal dispersion, stress propagation in interbank systems, and transmission probabilities in epidemic and reliability models are all captured by studying paths on directed graphs…
Exact and Evolutionary Algorithms for Sequential Multi-Objective Transmission Topology Planning
Job Groeneveld, Miguel Muñoz, Jan Viebahn +1
We study day-ahead transmission topology control for high-voltage grid operation under security constraints. The operational task is to select, over a 24-hour horizon, a sequ…
Random Walks with Traversal Costs: Variance-Aware Performance Analysis and Network Optimization
Thao Le, Robbert van der Burg, Bernd Heidergott +2
We introduce weighted Markovian graphs, a random walk model that decouples the transition dynamics of a Markov chain from (random) edge weights representing the cost of traversing…
Optimizing Power Grid Topologies with Reinforcement Learning: A Survey of Methods and Challenges
Erica van der Sar, Alessandro Zocca, Sandjai Bhulai
Power grid operation is becoming increasingly complex due to the rising integration of renewable energy sources and the need for more adaptive control strategies. Reinforcement Lea…
A First-Order Gradient Approach for the Connectivity Optimization of Markov Chains
Christian P. C. Franssen, Alessandro Zocca, Bernd F. Heidergott
Graphs are commonly used to model various complex systems, including social networks, power grids, transportation networks, and biological systems. In many applications, the connec…
Generating synthetic power grids using exponential random graphs models
Francesco Giacomarra, Gianmarco Bet, Alessandro Zocca
Synthetic power grids enable secure, real-world energy system simulations and are crucial for algorithm testing, resilience assessment, and policy formulation. We propose a novel m…
Multi-Agent Reinforcement Learning for Power Grid Topology Optimization
Erica van der Sar, Alessandro Zocca, Sandjai Bhulai
Recent challenges in operating power networks arise from increasing energy demands and unpredictable renewable sources like wind and solar. While reinforcement learning (RL) shows…