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Surrogate Modeling of Interconnector Flows: A Machine Learning Alternative to Full-Scale Power System Simulations with Application to Cross-Border Electricity Exchange
US & West ·
arXiv:2606.03475v2 Announce Type: replace Abstract: Cross-border electricity exchanges are crucial for operating and planning highly renewable power systems. Many studies reduce spatial granularity to keep models tractable and prescribe cross-border exchanges exogenously, often by reusing…
Original headline
Surrogate Modeling of Interconnector Flows: A Machine Learning Alternative to Full-Scale Power System Simulations with Application to Cross-Border Electricity Exchange
Инвестиционная компания Munro Partners в своем комментарии за второй квартал 2026 года назвала Arm Holdings plc (NASDAQ:ARM) одним из ключевых бенефициаров развития агентного искусственного интеллекта.
arXiv:2609.35819v1 Announce Type: new Abstract: In this paper, we explore using generative agent-based models for a classical ABM application: testing how individual-level behavioral rules produce collective phenomena.
arXiv:2410.09166v2 Announce Type: replace Abstract: Battery energy storage systems (BESS) play an increasingly vital role in integrating renewable generation into power grids due to their ability to dynamically balance supply.
