Implementing a Hybrid Quantum Neural Network for Wind Speed Forecasting: Insights from Quantum Simulator Experiences

Implementing a Hybrid Quantum Neural Network for Wind Speed Forecasting: Insights from Quantum Simulator Experiences

The intermittent nature of wind speed poses challenges for its widespread utilization as an electrical power generation source. As the integration of wind energy into the power system increases, accurate wind speed forecasting becomes crucial. The reliable scheduling of wind power generation heavily...

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Bibliographic Details
Main Authors:	Ying-Yi Hong, Jay Bhie D. Santos
Format:	Article
Language:	English
Published:	MDPI AG 2025-04-01
Series:	Energies
Subjects:	deep learning graphical processing unit quantum approximate optimization algorithm residual long short-term memory wind speed forecasting
Online Access:	https://www.mdpi.com/1996-1073/18/7/1771
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