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IQM_Hackathon_Endesa_team_beerantum

Methodology

OU-GBM Wind Modeling: Mean-reverting stochastic process (κ=0.0567, σ=0.0722, autocorr=0.908)
MPS Tensor Networks: 34,176 parameters, χ=4 bond dimension, hard constraint enforcement
CVaR Risk Management: α=0.95 confidence, VaR₉₅=€15,105.33
Quantum Deployment: Qrisp + IQM Emerald and energy cost Hamiltonian to prove quantum advantage

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