Abstract: Electric power forecasting is important for the stable operation and efficiency optimization of power grid. This paper proposes a Bayesian Deep Q-Network (BDQN) based power prediction model, ...
Abstract: Traditional matching methods rely on accurate mathematical models, but in the real world, the characteristics or attributes of network nodes are often fuzzy and difficult to describe with ...
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