Machine-learning methods for integrated renewable power generation: A comparative study of artificial neural networks, support vector regression, and Gaussian Process Regression
Machine-learning methods for integrated renewable power generation: A comparative study of artificial neural networks, support vector regression, and Gaussian Process Regression
Authors
Keywords
Machine-learning, Big data, Renewable wind and solar power, Electricity demand, Artificial neural networks (ANN), Support vector regression (SVR), Gaussian process regression (GPR)
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