On one wind turbine dataset, simulated 4-qubit quantum neural networks with a Z feature map reach R2 around 0.94 and RMSE slightly below k-nearest neighbors, with training time scaling roughly linearly with dataset size.
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Quantum Neural Networks for Wind Energy Forecasting: A Comparative Study of Performance and Scalability with Classical Models
On one wind turbine dataset, simulated 4-qubit quantum neural networks with a Z feature map reach R2 around 0.94 and RMSE slightly below k-nearest neighbors, with training time scaling roughly linearly with dataset size.