most citedElectricity Demand Forecasting with Hybrid Statistical and Machine Learning Algorithms: Case Study of Ukraine

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quant-ph2025

Towards Quantum Stochastic Optimization for Energy Systems under Uncertainty: Joint Chance Constraints with Quantum Annealing

David Ribes, Tatiana Gonzalez Grandon

Uncertainty is fundamental in modern power systems, where renewable generation and fluctuating demand make stochastic optimization indispensable. The chance constrained unit commit…