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promotes cooperation between academia and industry by addressing research on daily life issues, such as healthcare, space, mobility, human language technologies, agri-food, industry 4.0, and smart grids
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between academia and industry by addressing research on daily life issues, such as healthcare, space, mobility, human language technologies, agri-food, industry 4.0, and smart grids. This high level of
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 20 hours ago
advanced operational technology testbeds within the Duke Energy Smart Grid Laboratory. The candidate is expected to develop a funded research program that complements and supports the multidisciplinary power
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to the specific local positive energy districts (PEDs). A PED generates more renewable energy than it consumes. But creating such a district is not just a technological task. It requires smart collaboration between
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, autonomous decision-making, communication protocols, and applications in robotics, smart grids, and social networks. We consider computer science challenges from a broad perspective. Members of the department
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. We offer a dynamic environment where theory meets real-world application, and where your work can contribute to the development of the next generation of smart energy systems. About us The Division of
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devices (e.g. batteries, fuel cells, and hydrogen (H2) technologies), solar photovoltaic systems, smart grids, power electronics, and advanced mobility (e.g. multi-vehicle systems, electric vehicles
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teaching positions. We are looking for part-time instructors in all areas of Electrical and Electronic Engineering including (but not limited to): Renewable Energy Systems, Smart Power Grids and Energy
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. Electricity of the future will bind together generation, energy storage and demand through communications and artificial intelligence forming a low-carbon smart grid. However, this vision is only achievable
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on intelligent energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and systems integration in multi energy systems. The latter