We describe computationally efficient methods for Bayesian model selection. The methods select among mixtures in which each component is a directed acyclic graphical model (mixtures of DAGs or MDAGs), ...

Features not showcased in examples are crosssed out, since they are untested. Instead of running the above, you can manually download temp-c-raylib from it's releases page and move the binary into ...

Abstract: This paper proposes a data-driven voltage and power regulation method based on model predictive control (MPC) for active distribution networks (ADNs), which doesn’t rely on accurate system ...

Abstract: For electric vehicles (EV s) choosing the same target charging station, appropriate guidance for them to choose the appropriate charging pile for charging will help reduce the charging ...