A machine learning based stochastic optimization framework for a wind and storage power plant participating in energy pool market

标题
A machine learning based stochastic optimization framework for a wind and storage power plant participating in energy pool market
作者
关键词
Stochastic optimization, Recurrent neural network, Intraday market, Data uncertainty, Data-driven scenarios, Multivariate clustering, Wind energy
出版物
APPLIED ENERGY
Volume 232, Issue -, Pages 341-357
出版商
Elsevier BV
发表日期
2018-10-05
DOI
10.1016/j.apenergy.2018.09.195

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