18 November 2023

12:20 – 13:05

Amphithéâtre Say

Avner Bar-Hen

Avner Bar-Hen is Professor of Statistics and Massive Data at the CNAM. He has published over 120 articles and supervised some 15 theses. In addition to his teaching and research work in statistics, he is interested in scientific mediation around mathematics. He was a member of the Scientific Advisory Board of the French High Council for Biotechnology, a former member of the Specialized Commission for Evaluation, Strategy and Prospective (CSESP) of the French High Council for Public Health, and a former President of the French Statistical Society.

Conference: Does statistical modelling shed light on the world of energy?

Extreme weather events such as storms, heat waves or periods of intense cold have a significant impact on energy demand. By anticipating these events, energy suppliers can better plan and adjust their production to meet increased demand. For example, during heat waves, accurate forecasts enable additional capacity to be mobilized to meet growing demand for air conditioning. Similarly, in the event of intense cold, forecasting heating requirements helps to ensure an adequate supply. Predicting extreme events also helps to optimize energy activities. Companies can adjust their demand management, energy storage and resource allocation strategies in line with weather forecasts. This minimizes coûts and improves energy efficiency. Drawing on mathematics, statistical modeling offers powerful tools for making informed energy decisions, promoting environmental sustainability and optimizing our use of resources. In this talk, we will provide an overview of current issues in statistical modeling in the field of energy.