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 ...

Distributionally robust optimization is a paradigm for decision making under uncertainty where the uncertain problem data are governed by a probability distribution that is itself subject to ...

This is a preview. Log in through your library . Abstract In numerous applications, scientists and engineers acquire varied forms of data that partially characterize the inputs to an underlying ...

Goh, Joel, and Melvyn Sim. "Distributionally Robust Optimization and Its Tractable Approximations." Operations Research 58, no. 4 (pt.1) (July–August 2010): 902–917.

Researchers at China’s Guangdong Power Grid have proposed a new hybrid microgrid system that achieves an operational cost reduction of approximately 18.7% and a drop in carbon emission intensity of ...