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: To quantify the risk of transformer faults, the improved D-S evidence theory combined with the Bayesian network is proposed to address the effects of missing samples, misinformation, and ...
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