Investigating Techniques to Optimise the Layout of Turbines in a Windfarm Using a Quantum Computer

This paper investigates Windfarm Layout Optimization (WFLO), where we formulate turbine placement considering wake effects as a Quadratic Unconstrained Binary Optimization (QUBO) problem. Wind energy plays a critical role in ... | Find, read and cite all the research you need on Tech Science Press

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Publication Details

Journal
Journal of quantum computing
Published
2025-01-01
DOI
https://doi.org/10.32604/jqc.2025.068127
Citations
1
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.53
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article

Investigating Techniques to Optimise the Layout of Turbines in a Windfarm Using a Quantum Computer

Matthew J. Craven, Davide Vadacchino, Craig McNeile, James Hancock
1 citations
Journal of quantum computing
Power Systems and Renewable Energy
0.53
article

Investigating Techniques to Optimise the Layout of Turbines in a Windfarm Using a Quantum Computer

Matthew J. Craven, Davide Vadacchino, Craig McNeile, James Hancock
article en
1 citations

Abstract

This paper investigates Windfarm Layout Optimization (WFLO), where we formulate turbine placement considering wake effects as a Quadratic Unconstrained Binary Optimization (QUBO) problem. Wind energy plays a critical role in ... | Find, read and cite all the research you need on Tech Science Press

Journal of quantum computingVol. 7(1)
University of Plymouth (GB)
Affordable and clean energy
Openalex Percentile: Top 28%
Power Systems and Renewable Energy
0.53
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Investigating Techniques to Optimise the Layout of Turbines in a Windfarm Using a Quantum Computer — Matthew J. Craven, Davide Vadacchino, et al. · Journal of quantum computing (2025) | TGRS Research Map | TGRS