SOLAR IRRADIANCE FORECASTING USING A HYBRID QUANTUM NEURAL NETWORK: A COMPARISON ON GPU-BASED WORKFLOW DEVELOPMENT PLATFORMS

Solar Irradiance Forecasting Using a Hybrid Quantum Neural Network: A Comparison on GPU-Based Workflow Development Platforms

Modern renewable power operations can be enhanced by integrating deep neural networks, particularly for forecasting solar irradiance.Recent advancements in quantum computing have shown potential improvements in classical deep neural networks.However, current challenges with quantum hardware, such as susceptibility to noise 2005 buick century starte

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A novel financial risk assessment model for companies based on heterogeneous information and aggregated historical data.

The financial risk not only affects the development of the company itself, but also affects the economic development of the whole society; therefore, the financial risk assessment of company is an important part.At present, numerous methods of financial risk assessment have been researched by scholars.However, most of the extant methods neither int

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Copper Corrosion Inhibitors. A review

The literature dealing pedaltrain pt 1 with the electrochemical corrosion of copper and possibility of its prevention using inhibitors is examined.Inorganic compounds are investigated as well, but organic compounds and their derivatives in much greater numbers.Researches are directed to influence of compounds structure, concentration, method of app

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