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: Considering the uncertainty due to the inconsistency of data disturbance and the variation of operation condition, the accurate estimation of remaining useful life (RUL) is challenging. This ...