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Physics-Informed Graph Learning Acceleration for Large-Scale AC-OPF with Topology Changes
arXiv:2606.05772v1 Announce Type: new Abstract: In power systems, alternating current optimal power flow (AC-OPF) has been a challenging problem for decades due to its nonconvexity, but fast and efficient solutions are even more needed because of high penetration of large scale renewable generation and load growth. Recently, neural networks (NN) have gained attention in solving AC-OPF, but it is still in an early stage to be applicable for real and large-scale power system operation with...
Frost: [Browser] Fingerprinting Remotely Using OPFS-Based SSD Timing [pdf]
Article URL: https://hannesweissteiner.com/pdfs/frost.pdf Comments URL: https://news.ycombinator.com/item?id=48345822 Points: 5 # Comments: 1
Not All Warm Starts Help: Benchmarking Primal-Dual Initializations for ACOPF Algorithms
arXiv:2606.08984v1 Announce Type: cross Abstract: Warm starts are widely used to accelerate AC optimal power flow (ACOPF) solves, but the impact of different initialization strategies has received limited systematic study, particularly for the primal-dual interior-point methods that dominate large-scale ACOPF algorithms. This paper benchmarks initialization strategies for ACOPF solved with the interior-point solver IPOPT on 19 PGLib-OPF instances (5 to 30,000 buses), testing all 15 non-empty...
Websites Can Now Spy on You Through Your Hard Drive
Over the decades, there has been no shortage of sites using clever techniques to covertly track visitors’ browsing histories, device fingerprints, and keystrokes and mouse movements in real time. Even Meta and Yandex were recently caught joining in the privacy-invasive free-for-all. Now sites have a new way to spy on their visitors: by measuring subtle interactions with their solid-state drives.
Advanced simulation framework for AC/MTDC power systems
arXiv:2606.09406v1 Announce Type: new Abstract: Alternating current (AC)/multi-terminal direct current (MTDC) hybrid power systems (HPSs) play a crucial role in enabling long-distance power transmission and flexible interconnections between AC grids. However, the challenges that HPSs encountered are numerous, with stability and harmonic issues being particularly prominent.
Exposing Barriers to Flexibility Aggregation in Unbalanced Distribution Networks
arXiv:2408.06516v4 Announce Type: replace Abstract: The increasing integration of distributed energy resources (DER) offers new opportunities for distribution system operators (DSO) to improve network operation through flexibility services. To utilise flexible resources, various DER flexibility aggregation methods have been proposed, such as the concept of aggregated P-Q flexibility areas. Yet, many existing studies assume perfect coordination among DER and rely on single-phase power flow...
Learning to Optimize by Differentiable Programming
arXiv:2601.16510v3 Announce Type: replace Abstract: Solving massive-scale optimization problems requires scalable first-order methods with low per-iteration cost. This tutorial highlights a shift in optimization: using differentiable programming not only to execute algorithms but to learn how to design them. Modern frameworks such as PyTorch, TensorFlow, and JAX enable this paradigm through efficient automatic differentiation.