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), ...
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: One of the purposes of fuzzy set theory is to overcome the uncertainties in the problems of multi-criteria decision-making (MCDM) via membership functions. But the fuzzy set theory has own ...
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