Digital twinPhysics-Based Blood Pressure Digital Twin Fails Rigorous Stress TestBioengineer.org · 3dDigital twinMarket Forecast for Data Center Digital Twin O&M SystemsopenPR.com · 3dDigital twinAVEVA to Present Industrial AI and Digital Twins at ADIPEC 2026Gulf Daily News (Bahrain) · 4dDigital twinSchneider Electric and partners test AI factory digital twin in SinesData Centre Solutions · 4dDigital twinMIRAGE: A GPU-Accelerated IQ-Level Channel Emulator for Real-Time Wireless Digital TwinsarXiv API — полнотекстовый поиск "digital twin" · 4dModellingОт языка к действию: как устроены агентные ИИ‑системыХабр · 4dDigital twinAI-Driven Digital Twin Framework for Warehouse Logistics Automation OptimizationarXiv API — полнотекстовый поиск "digital twin" · 5dForecastingPhase-Coordinated Model Predictive Control for AI Training Power SmoothingarXiv — Systems and Control (eess.SY) · 5dForecastingA model predictive control framework with robust stability guarantees under unbounded disturbancesarXiv — Systems and Control (eess.SY) · 5dDigital twinSchneider Electric pilots an AI data center digital twin in PortugalInvesting.com · 5dDigital twinDigital Twin-Guided Wireless Localization via Probabilistic Inverse LearningarXiv API — полнотекстовый поиск "digital twin" · 5dDigital twinAn Incremental Knowledge-Graph Learner Digital Twin for Evidence-Grounded Early WarningarXiv API — полнотекстовый поиск "digital twin" · 6d
SecFD-FL: Frequency-Decoupled Federated Learning with Secure Aggregation for Charging Load Forecasting in Internet of Electric Vehicles
US & West ·
arXiv:2610.12909v1 Announce Type: new Abstract: Accurate charging load forecasting is essential for the reliability and efficiency of the Internet of Electric Vehicles (IoEV), yet it is challenging on two fronts: charging demand is highly stochastic, and the data collected by distributed sensors is…
Original headline
SecFD-FL: Frequency-Decoupled Federated Learning with Secure Aggregation for Charging Load Forecasting in Internet of Electric Vehicles
Gasification of Bishkek residential areas will continue from 2028, according to the Kyrgyz parliament speaker citing Gazprom's local subsidiary. Completion of a pipeline from Russia is named as the condition.
arXiv:2610.07232v1 Announce Type: cross Abstract: Accurate short-term load forecasting (STLF) is essential for the reliable and efficient operation of modern power systems. While time series foundation models (TSFMs) have recently demonstrated remarkable performance across a wide range of…
arXiv:2605.12728v2 Announce Type: replace Abstract: The power distribution engineering workforce faces a projected shortage of up to 1.5 million engineers by 2030, creating urgent demand for more accessible analysis tools.
