A Data-Driven Two-Stage Distributionally Robust Planning Tool for Sustainable Microgrids

This paper presents a data-driven two-stage distributionally robust planning tool for sustainable microgrids under the uncertainty of load and power generation of renewable energy sources (RES) during the planning horizon. In the proposed two-stage …

Data-driven Power System Methods

Research in the area of machine learning for power system applications