I would first like to thank the authors for a well-written paper that illustrates the benefit of collaborating across disciplines. This type of work is very important for renewable energy to become integrated into mainstream utility systems, and the authors have clearly demonstrated how advanced statistical forecasting models can be incorporated into optimization models for scheduling power while simultaneously minimizing operating costs. As the percentage of a country's total energy needs that are met with variable renewable energies, such as wind, increases, the potential to disrupt the stability of the utility to deliver uninterrupted power also increases (Marquis et al. 2011). Therefore, having good short-term wind forecasts will be even more important in the coming years, and the development of such models and testbeds as done in this paper by Zhu et al. (2014), hereafter referred to as ZGGX, will be highly relevant.
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