Moamar Mouchaweh 2

Primary Program

Utilities & Renewables
Moamar Sayed Mouchaweh

About

Moamar Sayed Mouchaweh is a Principal Fellow in the Utilities and Renewables Program at KAPSARC. Before joining KAPSARC, he was a full professor at the High National Engineering School of Mines-Telecom North of Europe in France, where he led interdisciplinary research projects using artificial intelligence to address energy transition challenges in the context of digital transformation. His expertise spans the impact and challenges of information, communication, and emerging technologies on energy system reliability, stability, sustainability, resilience, and cybersecurity. He holds a master’s degree from the University of Technology of Compiègne and a Ph.D. from the University of Reims. Moamar has published more than 200 papers.

Education

1999-01-01 - 2002-12-01

University of Reims-France

PhD - Computer Science, Automatic Control and Signal Processing

1997-01-01 - 1999-07-01

University of Technology of Compiegne France

Master - Computer Science & Control of Systems

1994-01-01 - 1997-07-01

University of Damascus

Master - Computer Engineering

1991-01-01 - 1994-07-01

University of Damascus

Bachelor - Electronic Engineering

Publications

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Digitalized Virtual Power Plants to Unlock the Value of Distributed Energy Resources in the Day-Ahead Market

Digitalized virtual power plants (DVPPs) are advanced software platforms that aggregate and optimally orchestrate a collection of distributed energy resources (DERs) to support grid balance and stability to alleviate stressed transmission and distribution lines and provide critical g...

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Resilient Digitalized Power Grids with High Penetration of Distributed, Variable Renewable Energy

Conventional power grids are undergoing a transition towards digitalized power grids, where cyber, physical, and social domains are tightly coupled through smart components, advanced metering infrastructure, wireless communication /connectivity networks, and digital technologies that...

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Framework for Leveraging the Digitalization of Power Systems within the Context of Energy Transition

The digitalization of power systems can contribute to a smoother energy transition by, for example, maximizing the use of renewable energy (RE; i.e., minimizing curtailment), peak shaving, and relaxing grid congestion. Collectively, these and other benefits play an important role in ...

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Generative AI for the Power Sector: Methodology, Safety, Trustworthiness, and Policy Implications

Power systems are transforming into digitalized smart grids where cyber, physical, and social domains converge. In parallel, Generative AI (GenAI) offers new capabilities to address these challenges. While prior research explores AI in specific power sector applications, comprehensive...

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AI-Based Dynamic Line Rating for Enhancing Renewables-Gas Complementarity in the Power Sector

As renewable energy (RE) grows, efficient grid integration is vital to reduce curtailment and defer costly infrastructure upgrades. Among available options, dynamic line rating (DLR) offers a low-cost, data-driven solution that enhances transmission line capacity based on real-time we...