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will focus on the development of methodologies and tools for the optimal management of Renewable Energy Communities (RECs). Optimization models and Energy Management Systems (EMS) will be developed
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 18 hours ago
energy optimization strategies to improve performance, reduce costs, and support sustainability goals. Manage utility procurement, consumption analysis, metering systems, budgeting support, and internal
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electric mobility and smart energy management. We design and implement charging infrastructures and advanced energy optimization systems, combining engineering, proprietary software, and strategic vision
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Intelligence Unit looking for talented and motivated candidates to work on applying AI techniques to model, predict and optimize energy systems. Join us at the heart of a mission that truly matters: transforming
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. Develop AI and machine learning models for recycling process prediction and decision support, such as forecasting metal recovery, impurity levels, energy use, and emissions. Develop optimization and control
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systems. Key responsibilities Develop modeling tools to assess the environmental and socio-economic sustainability of industrial supply chains and processing technologies. Implement optimization models and
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optimization of energy performance for facilities and cooling systems that support NERSC HPC operations. The position will collaborate with the LBNL Energy Manager (Sustainable Berkeley Lab Office) to help meet
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. The thematic orientation of its research concerns aerodynamics, solid mechanics and energy conversion in flows including plasma and lasers. Participation in the design and optimization of integrated energy
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control logic. - Optimization of resource usage, energy consumption, and timing performance (timing closure). Where to apply E-mail a.gutierrez@upm.es Requirements Research FieldEngineering » OtherEducation
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.) must contribute to the effort to reduce GHG emissions. Clouds, despite their ability to optimize processes in other sectors (transport, energy, agriculture), are no exception to this observation