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Abstract: Machine learning-based power flow estimation is a critical technique for modeling the operational state of power systems. However, traditional power flow estimation methods face limitations ...

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Abstract: Data-driven methods present a promising approach to extracting security boundaries in transient security-constrained optimal power flow (TSCOPF) for modern power systems. Nevertheless, with ...

Full-time Overview An exciting opportunity awaits a skilled Business Analyst to join a dynamic team driving the evolution of digital tools and applications used by intermediaries. This role is ideal ...

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Combining data with next-generation connectivity and emerging technologies can boost productivity, improve citizens’ health and wellbeing, and enhance public services. The Data Act aims to create ...

The majority of other information websites display prices from a single source, most of the time from one retail broker-dealer. At FXStreet, traders get interbank rates coming from a systematic ...

About one-third of workers report high levels of stress. This can create a burden for employers in health care costs, periods of disability, absenteeism, job turnover and poor productivity. Job stress ...

Deploy this example to create a 3D object reconstruction workflow that transforms stereo video input into high-quality 3D assets using state-of-the-art computer vision and neural rendering techniques.