A provincial and municipal access data center optimization method for a power customer service center to predict the number of potential users based on a logistic model
A technology of customer service center and model prediction, applied in the field of intelligent customer service, it can solve the problem of not effectively considering the maximum user load of potential users, and achieve the effect of improving load balance and reasonable access scheme
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[0055] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings. Here, the exemplary embodiments and descriptions of the present invention are used to explain the present invention, but not to limit the present invention. This example is as follows:
[0056] According to the understanding of the difference between potential users of the data center and ordinary users, a total of recent visits, visit time intervals, current pending work orders, family size, average age of the family, air conditioners, electric water heaters, ovens, and induction cookers were compiled and collected. The number of high-power electrical appliances such as microwave ovens, recent average temperature, average power consumption time, average maximum load utilization time, average minimum load utilization time, ...
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