Title: The challenges of artificial intelligence in the context of the energy transition

Abstract:

 Artificial intelligence (AI) plays a pivotal role in the energy transition, offering numerous opportunities while facing significant challenges. Thanks to its advanced data analysis and optimization capabilities, AI substantially enhances the energy efficiency of systems, facilitates the integration of renewable energy sources, and improves the management of energy demand. Key applications discussed include the optimization of smart electrical grids, accurate forecasting of renewable energy production (solar, wind), and dynamic management of energy consumption in buildings and industries. These innovations contribute to reducing greenhouse gas emissions and accelerating the decarbonization of the energy sector.
However, these advancements must also address the challenges related to AI’s own environmental footprint, particularly the high energy consumption associated with training and deploying machine learning models. It is therefore essential to prioritize frugal AI approaches that are more energy-efficient.
This presentation thus highlights the dual role of AI: a critical driver of the energy transition, while simultaneously requiring careful management of its environmental impacts.
 
 

Biography:

Jérôme Bosche was born in Tulle, France. He began his academic journey at the University of Poitiers, where he earned a master’s degree specializing in analysis and control in 2000. He continued his studies at the same institution, obtaining a Ph.D. in 2003 with a dissertation focused on advanced control theory. During this period, from 1999 to 2004, he was affiliated with the Laboratoire d’Automatique et d’Informatique Industrielle (LAII) in Poitiers, where he contributed to research projects on control systems and industrial automation. After completing his doctorate, he remained at LAII for two additional years, further deepening his expertise in control engineering.

In 2005, Jérôme Bosche joined the Modeling Information and Systems (MIS) laboratory in Amiens as a researcher, where he expanded his research portfolio to include robust analysis and output feedback stabilization, with practical applications targeting vehicle dynamics and energy systems optimization. Concurrently, he serves as a full professor at the Department of Sciences of the University of Picardie Jules Verne (UPJV) in Amiens, where he teaches courses related to control theory and system modeling.

His research scope has broadened to interdisciplinary domains, notably e-health, where he collaborates closely with the Amiens University Hospital through the GRECO research institute (Research and Study Group in Robotic Surgery). In this capacity, he is the deputy director, overseeing projects that integrate robotics and control systems to advance surgical techniques and healthcare technology.

Since January 2025, Jérôme Bosche has taken on the role of director of the MIS laboratory, leading its strategic research directions and fostering collaborations across academia and industry. His work continues to focus on advancing theoretical foundations and practical implementations of control systems, with a strong commitment to innovation in sustainable energy and healthcare technologies.