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Learning Infused Quantum-Classical Distributed Optimization Technique for Power Generation Scheduling

The advent of quantum computing can potentially revolutionize how complex problems are solved. This article proposes a two-loop quantum-classical solution algorithm for generation scheduling by infusing quantum computing, machine learning, and distributed optimization. The aim is to facilitate emplo...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Reza Mahroo, Amin Kargarian
Format: Artigo
Sprache:Inglês
Veröffentlicht: IEEE 2023-01-01
Schriftenreihe:IEEE Transactions on Quantum Engineering
Schlagworte:
Distributed optimization
generation scheduling
machine learning
quantum computing
variational quantum algorithm
Online-Zugang:https://ieeexplore.ieee.org/document/10268041/
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