2018

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

   Applied Energy, Vol. 232, pp. 341-357

2. Evaluation of a data driven stochastic approach to optimize the participation of a wind and storage power plant in day-ahead and reserve markets

   Energy, Vol. 156, pp. 278-291