A quantum-assisted agentic DAI framework formulates microgrid dispatch as QUBO problems solved by solver portfolios with agentic selection and belief-shaped storage valuation, achieving exact optimum in a 24-hour simulation with 97.83% renewable utilization.
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Coarsening smart meter load profile granularity produces two performance plateaus in socio-demographic inference (15 min–1 h and 1–7 days), enabling data minimization strategies that preserve some predictive utility.
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A Quantum-Assisted Agentic Distributed Artificial Intelligence Framework for Deadline-Bounded Orchestration of Hybrid Renewable Microgrids
A quantum-assisted agentic DAI framework formulates microgrid dispatch as QUBO problems solved by solver portfolios with agentic selection and belief-shaped storage valuation, achieving exact optimum in a 24-hour simulation with 97.83% renewable utilization.