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An EV Boom or a Gridlock? A Data-Driven Approach to UAE's Green Energy Transition

Data Science Conference via YouTube

Overview

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This conference talk explores the United Arab Emirates' transition to renewable energy and the challenges of electric vehicle adoption on power grid management. Jasmina Lazic presents a data-driven framework for analyzing grid behavior that combines AI-based forecasting, physics-informed learning, and traditional optimization models. Learn how comprehensive visualizations and dashboards help decision-makers navigate the complexities of integrating volatile renewable energy sources and increasing EV demand. Discover practical approaches to building a robust, adaptable energy infrastructure that supports the UAE's 2050 Net Zero goals while managing growing electricity needs. The presentation was delivered at DSC EUROPE 24 in Belgrade on November 21st and offers valuable insights for energy planners, sustainability professionals, and those interested in data-driven approaches to green energy transitions.

Syllabus

An EV Boom or a Gridlock? A Data-Driven Approach to UAE's Green Energy Transition | J. L. |Europe 24

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Data Science Conference

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