Alicia Bassière

Welcome to my website.

I am currently a postdoctoral researcher in the Risk, Reliability and Resilience team of LGI, CentraleSupelec. Currently, I am part of the POWDEV project, which focuses on evaluating and optimizing the resilience of power systems in the context of large-scale renewable energy integration. My work involves analyzing the impacts of extreme climatic events on energy systems and exploring socio-economic scenarios to enhance system resilience. I also contribute to the project's scientific coordination, employing interdisciplinary approaches that combine optimization techniques, vulnerability analysis, and scenario modeling. 

In 2024, I successfully defended  in energy economics, specialising mainly in the electricity market, supervised by David Benatia and Peter Tankov. This thesis was financed by an ANR research grant, acquired in the framework of the EcoREES project, and part of the FiME laboratory.

I am deeply passionate about combating global warming, with a focus on energy as a fundamental component. Specifically, electricity poses two significant challenges: 

• The substitution of fossil fuels with electricity in various applications (such as mobility and heating) 

• The adoption of environmentally friendly methods for electricity production. It is concerning that coal continues to be widely utilized globally for electricity generation. 

In some countries, transitioning to renewable energies, despite their intermittency, could be a solution. However, the existing economic framework isn't robust enough to handle this shift, leading to issues like negative pricing, 'missing money,' and renewables cannibalizing investments. The recent energy crisis highlights the impact of unforeseen events, emphasizing the urgency to accelerate renewable investments. 

I'm primarily interested in the role of uncertainty in shaping the energy transition and in how public policy can better integrate these aspects to foster resilience and sustainability. My work focuses on decision sciences, particularly game theory, and employs probabilistic mathematical methods such as stochastic optimization and modeling. Additionally, I leverage physically-based simulations and empirical approaches to calibrate models, analyze risks, and provide actionable insights for decision-making under uncertainty.