Smart Grid Optimization
Bayesian networks are graphical models that represent a set of variables and their conditional dependencies through directed acyclic graphs. They are used to model uncertainty by incorporating prior knowledge and observed data, allowing for probabilistic reasoning and inference. This framework is particularly beneficial in dealing with complex systems, where uncertainty is a common challenge.
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