ModellingStochastic Adaptive MPC for Load Frequency Control in MicrogridsarXiv — Systems and Control (eess.SY) · yesterdayForecastingCritical Review of LLMs for HVAC Operations in BuildingsarXiv — Systems and Control (eess.SY) · yesterdayDigital twinCyber-physical systems lab opens at Voronezh State UniversityВоронежский госуниверситет · 21hDigital twinAI-Powered CPS Urban Transportation Digital TwinarXiv — Systems and Control (eess.SY) · yesterdayModellingSelectel and ITMO JV develops multi-agent system technologies for businessspbIT · yesterdayForecastingGrid-Aware MPC for Smoothing AI Data Center Power DemandarXiv — Systems and Control (eess.SY) · yesterdayEnergyComparison of Direct vs Indirect Net Load Forecasting with RenewablesarXiv — Systems and Control (eess.SY) · yesterdayDigital twinBayesian thermal digital twin for space habitat under impactarXiv API — полнотекстовый поиск "digital twin" · 4dDigital twinData-driven transient forecasting for generator digital twin decision supportarXiv API — полнотекстовый поиск "digital twin" · 3dMarket & productsKorea and Africa Discuss AI and Digital Infrastructure at KOAFECAfDB Africa Newsroom (пресс-релизная витрина) · 4dModellingSeed-Anchored Graph Rendering for QA on Power-Grid CIM/CGMES ModelsarXiv — Systems and Control (eess.SY) · 5dDigital twinDNative-Twin: Graph-Native Digital Twins for Reconstructable Agentic DecisionsarXiv API — полнотекстовый поиск "digital twin" · 4d
Generative Agent-based Simulation of Mobility Policy Preferences from Surveys
US & West ·
A framework converts real survey respondents into LLM agents for simulation. This approach improves realism of behavioral simulations and can be used for experiments in mobility policy.
Why it matters
Shows potential of LLM agents for modeling socio-economic processes, important for urban planning and policy analysis.
Two headroom-aware adaptive MPC strategies are developed for PV-dominated microgrids, accounting for stochastic and time-varying reserve headroom of inverter-based resources to avoid control saturation and improve load frequency control.
A systematic review of 66 studies (2023-2026) on LLMs for HVAC operations classifies methods and applications, revealing concentration on building energy modeling but few pilot-level deployments and no sustained operational use.
Methods for urban traffic digital twins are presented, emphasizing prediction and decision-making capabilities, powered by AI and cyber-physical systems, distinguishing them from traditional simulators.
