Application of Quantum Neural Network for Solar Irradiance Forecasting: A Case Study Using the Folsom Dataset, California

Merging machine learning with the power of quantum computing holds great potential for data-driven decision making and the development of powerful models for complex datasets. This area offers the potential for improving the accuracy of the real-time prediction of renewable energy production, such a...

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Principais autores:	Victor Oliveira Santos, Felipe Pinto Marinho, Paulo Alexandre Costa Rocha, Jesse Van Griensven Thé, Bahram Gharabaghi
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2024-07-01
סדרה:	Energies
נושאים:	renewable energy solar irradiance forecast quantum machine learning machine learning Folsom dataset Qiskit
גישה מקוונת:	https://www.mdpi.com/1996-1073/17/14/3580
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!