Machine-learning methods for integrated renewable power generation: A comparative study of artificial neural networks, support vector regression, and Gaussian Process Regression

标题
Machine-learning methods for integrated renewable power generation: A comparative study of artificial neural networks, support vector regression, and Gaussian Process Regression
作者
关键词
Machine-learning, Big data, Renewable wind and solar power, Electricity demand, Artificial neural networks (ANN), Support vector regression (SVR), Gaussian process regression (GPR)
出版物
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
Volume 108, Issue -, Pages 513-538
出版商
Elsevier BV
发表日期
2019-04-11
DOI
10.1016/j.rser.2019.03.040

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