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Research & Development

Members of ENTAIL lab conduct a broad range of research, from foundations to applications and problem solving

Recent Posts

Article “Optimal Design of Distribution Overhead Powerlines using Genetic Algorithms” was accepted for publication in IEEE Transactions on Power Delivery
Article “Dimension-wise Particle Swarm Optimization: Evaluation and Comparative Analysis” was published in MDPI Applied Sciences
Article “Distributed Learning Applications in Power Systems: Methods, Gaps, and Challenges” has been published in MDPI Energies
Article “Probabilistic Forecasting of Dynamic Thermal Line Rating with Temporal Correlations” was accepted to the International Journal of Electrical Power and Energy Systems
Article “Comparative Analysis of Machine Learning ‎Techniques for Temperature Compensation in ‎Microwave Sensors” was accepted for publication in IEEE Transactions on Microwave Theory and Techniques

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The ENergy digiTizAtIon Lab is concerned with the digitization of electrical energy systems across all levels, both horizontally and vertically: from IoT devices providing access to sensors and levers of the smart grid to cloud-based services for storing and processing the large amount of data produced by the modern electricity grids.

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Recent Posts

Article “Optimal Design of Distribution Overhead Powerlines using Genetic Algorithms” was accepted for publication in IEEE Transactions on Power Delivery
Article “Dimension-wise Particle Swarm Optimization: Evaluation and Comparative Analysis” was published in MDPI Applied Sciences
Article “Distributed Learning Applications in Power Systems: Methods, Gaps, and Challenges” has been published in MDPI Energies

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