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tools to tackle the voltage security problem in transmission networks with a large presence of renewable generation by optimally employing non-costly control actions like (i) displacement of available
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, troubleshooting, and optimization of building automation and energy management systems. Provide technical guidance and escalation support for complex control issues involving HVAC, electrical, and life safety
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adjustments. Makes adjustments to ensure optimal system operation. Tests water in cooling towers; adds chemicals for control of alkalinity, algae, and scale formation in condensers. Test the water in closed
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University Abu Dhabi invites applicants to apply for the open Post-doctoral Associate position to perform primarily research on Reinforcement Learning, and/or Optimal Control, and/or Model Predictive Control
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recover quickly from disruptions. The research will involve reinforcement learning, predictive modeling, and real-time adaptive control to dynamically optimize production sequencing, resource allocation
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in the tramway network of the city of Palermo. The main objective is to design and validate advanced control algorithms capable of optimally managing the power flow between the DC traction network
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; modelling of processing steps and whole processes to support innovation, design, optimisation and control for manufacturing operations. Process control: process modelling, control, and optimization, with
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sustainable and efficient transportation. Since fuel cells have slow dynamics and quick degradation, optimal and predictive energy management control is crucial for maximizing energy efficiency and extending
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, or a closely related field, with a strong record of research productivity. The ideal candidate will have expertise in reinforcement learning, optimal control, vision-language models, or Bayesian
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . The Decarbonisation Programme “Singapore Max-Planck Alliance for the Sustainable