This paper proposes a hybrid stochastic-robust optimization framework for sizing a photovoltaic/tidal/fuel cell (PV/TDL/FC) system to meet an annual educational ...

This paper presents a new approach toward building energy optimization through proposing a cloud theory-based stochastic model that considers the risk that arises due to uncertainty in building ...

Many self-organized systems in nature exploit a sophisticated blend of deterministic and random processes. No two trees are exactly alike because growth is random, but a Redwood can be readily ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become central to scientific progress.