Dr. Cesar Arturo Angeles Ruiz
Helping Decarbonise the Energy Sector via Digital Twins Technology
Background
BSc in Electronics, Electrical and Telecommunications Engineering. MSc in Nanoelectronics and Nanotechnology. Interests: Mathematics, control theory, software development, videogames and swimming.
PhD
Helping Decarbonise the Energy Sector via Digital Twins TechnologyEnergy generation, transportation and consumption accounts for about 70% of anthropogenic emissions linked to contribute in climate change. This project explores the utilisation of digital twins, powered by AI algorithms, and control theory to characterise, analyse and control electricity network systems at three different hierarchies: asset scale, network scale and grid scale systems. Key research areas: Power systems, Artificial Intelligence, Machine Learning, Statistics.
In Simple Terms...
I use AI algorithms and digital twin technology to monitor, analyze and control electricity networks in real-time, helping integrate renewable energy sources safely and efficiently.
Supervisors
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Lead Supervisor
Prof. Peter Crossley
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Co-Supervisor
Prof. Mohammad Abusara
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Co-Supervisor
Dr. Shuhang Shen
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Co-Supervisor
Dr. James Salter
External Partners
- UK Power Networks LTD