A novel sparsity-based deterministic method for Shapley value approximation, with applications

Victoria Erofeeva, Sergei Parsegov

Abstract: Highlights•Proposes a deterministic Shapley value approximation using compressed sensing.•Ensures reproducibility and reduces complexity by selecting optimized coalitions.•Applies the method to profit allocation in two-settlement electricity markets.