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