Saudi scientists created a new deep learning technique based on distributionally robust optimization (DRO) to identify the most suitable locations for utility scale wind and solar power projects. They applied the model to Saudi Arabia and found it provides 'more realistic' results than deterministic or robust models.A group of scientists from the King Fahd University of Petroleum and Minerals in Saudi Arabia has developed a new method for wind and PV project siting that they said provides a "more realistic" modeling of uncertain parameters compared to conventional stochastic approaches. The ...Den vollständigen Artikel lesen ...