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作 者:牛刚[1]
机构地区:[1]国网宁夏电力公司电力科学研究院,宁夏银川750011
出 处:《宁夏电力》2015年第2期56-59,72,共5页Ningxia Electric Power
摘 要:针对传统市场管理和分析预测中存在的数据源不完整、预测方法单一、人工汇总分析导致的准确率不高的问题,通过分析对比,采用B/S应用模式,J2EE技术架构和JAVA解决方案,开发了电力市场管理与负荷分析预测系统,实现了海量数据的有序整合优化和负荷需求的科学预测。应用结果表明:该系统信息分类及管理完善、负荷预测模型先进、有效提高了预测准确率和工作效率,达到了为电力生产、经营提供辅助决策的预期目标。Aiming at the problems consisting in the traditional market management and analysis forecast such as data source is imperfect,forecast method is single and the data accuracy of manpower gather and analysis is low,through the analysis and comparison,using B/S application mode,J2EE technical architecture and the comprehensive JAVA solution,develops power market management and load analysis forecast system,realizes the orderly integration and optimization for massive data and the scientific forecast for the load demand. The application result shows that the system information classification and management are perfect,load forecasting model is advanced, can effectively improve the forecast accuracy and efficiency,obtains the prolepsis forecast target of offering the assistant decision-making for power production and operation.
分 类 号:TM714[电气工程—电力系统及自动化]
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