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Agglomeration development strategy of telecom industry based on embedded system and data mining

机译:基于嵌入式系统和数据挖掘的电信行业集聚发展战略

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Aggregation is driven by both the size of the concentration and the city itself in the industry (urbanization). Since the new company to follow the existing companies in the same industry continues to cluster in these areas, the localized economy will create a cluster to produce the same product. The crisis of power shortage in the telecommunications industry in the summer of the peak power consumption period reduces the power cost through load management measures based on Neural Network (NN) using FPGA tool. Field of Business Intelligence (BI) is, by performing the direct mining data in the database, applying the power of data mining in a number of the hands of the business line and analysts. Sample of the customer, install the collect energy consumption data that the digital power meter. Effective load management strategies have been proposed; the load management measures? contents can be summarized to compare the measured data. Result join the show?s load management strategy, the telecommunications industry, and are very satisfied. In the margin adjustment and Time of Use (ToU) period, customers of this industry can save a certain amount of electricity.
机译:聚合是由行业集中的规模和城市本身(城市化)驱动的。自新公司遵循同行业的现有公司继续纳入这些领域,本地化经济将创建一个集群以生产相同的产品。夏季电信行业的电力短缺危机峰值功耗期通过基于神经网络(NN)的负载管理测量来降低功率成本,使用FPGA工具。通过在数据库中执行直接挖掘数据,在商业行和分析师的手中执行数据挖掘权的权力,是商业智能(BI)的领域。客户的样本,安装数字功率计的收集能耗数据。提出了有效的负荷管理策略;负荷管理措施?可以概括内容以比较测量的数据。结果加入展示?S负荷管理战略,电信行业,非常满意。在使用保证金调整和使用时间(TOU)期间,该行业的客户可以节省一定的电力。

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