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 ...

This study introduces an enhanced self-adaptive wild goose algorithm (SAWGA) for solving economical-environmental-technical optimal power flow (OPF) problems in traditional and modern energy systems.

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 ...