Workload prediction based on improved error correlation logistic regression algorithm and Cross‐TRCN of spatiotemporal neural network
Xin Wan,
Xiang Huang,
Fuzhi Wang
Abstract:In view of the randomness of user network usage behavior in data centers, which leads to a large randomness in power load, and considering that a single randomness processing method is usually difficult to fully characterize the uncertain characteristics of the system, this paper proposes a dual fusion prediction analysis model based on an improved error correlation logic regression algorithm and a novel spatiotemporal neural network structure called Cross‐TRCN. Two weight coefficients λ1 and λ2 are introduced… Show more
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