Annealing-Based Quantum Computing for Combinatorial Optimal Power Flow
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2022.3200590
Abstract: This paper proposes the use of annealing-based quantum computing for solving combinatorial optimal power flow problems. Quantum annealers provide a physical computing platform which utilises quantum phase transitions to solve specific classes of combinatorial problems.… read more here.
Keywords: optimal power; annealing based; power flow; quantum ... See more keywords
A simulated annealing‐based maximum‐margin clustering algorithm
Sign Up to like & getrecommendations! Published in 2019 at "Computational Intelligence"
DOI: 10.1111/coin.12187
Abstract: Maximum‐margin clustering is an extension of the support vector machine (SVM) to clustering. It partitions a set of unlabeled data into multiple groups by finding hyperplanes with the largest margins. Although existing algorithms have shown… read more here.
Keywords: maximum margin; annealing based; margin clustering; based maximum ... See more keywords
Enhanced Simulated Annealing-based Global MPPT for Different PV Systems in Mismatched Conditions
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Power Electronics"
DOI: 10.6113/jpe.2017.17.5.1327
Abstract: Photovoltaic (PV) systems are influenced by disproportionate impacts on energy production caused by frequent mismatch cases. The occurrence of multiple maximum power points (MPPs) adds complexity to the tracking process in various PV systems. However,… read more here.
Keywords: mppt; annealing based; maximum power; enhanced simulated ... See more keywords