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...

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Autors principals:	Reza Mahroo, Amin Kargarian
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2023-01-01
Col·lecció:	IEEE Transactions on Quantum Engineering
Matèries:	Distributed optimization generation scheduling machine learning quantum computing variational quantum algorithm
Accés en línia:	https://ieeexplore.ieee.org/document/10268041/
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