Seifeddine Ben Elghali

Online Learning-Based Adaptive Hybrid Benders Decomposition for Risk-Averse Optimal Sizing

Optimal sizing problem (OSP) under uncertainty is often formulated as two-stage stochastic programming (2SP). However, this formulation typically introduces significant computational and RAM (memory) bottlenecks as the scenario size grows. Benders Decomposition (BD) is a popular...

Regulation-aware combinatorial optimization of energy community formation under geographic proximity constraints

Renewable Energy Communities (RECs) enable collective self-consumption by allowing geographically proximate households to share locally generated renewable energy. While most existing studies optimize the operation of a pre-defined community, the prior problem of how to partition...