The Application of Spark in the Power Grid Intelligent Decision Analysis Platform

Wei Li, Q. Niu, Weijia Zhang, Jin Pang
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引用次数: 3

Abstract

Intelligent Decision Analysis Platform is an advanced application of decision and analysis based on the construction of "State Grid 186" in China. The platform is committed to achieve the goal of all kinds of business managements and developments. It mainly focuses on providing scientific decisions by data mining and predicting after status data being analyzed. With the auxiliary support of the platform, power enterprises are capable of making better strategies and increasing revenue eventually. According to the characteristics of smart grid monitoring and the requirements of management efficiently as well as the demand of reliable storage of massive grid data, this paper puts forward the decision and analysis platform based on the parallel processing framework which is called Spark and the fault-tolerant abstraction for in-memory cluster computing embedded in Spark as it is known as Resilient Distributed Datasets (RDDs). This paper gives detailed analysis of the feasibility and the advantages of the new method, as well as some unsolved problems.
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Spark在电网智能决策分析平台中的应用
智能决策分析平台是基于中国“国网186”建设的决策分析高级应用。该平台致力于实现各类企业管理和发展的目标。它主要侧重于通过数据挖掘和状态数据分析后的预测来提供科学的决策。在平台的辅助支持下,电力企业能够制定更好的战略,最终实现收益的增加。根据智能电网监控的特点和高效管理的要求,以及对海量电网数据可靠存储的需求,提出了基于并行处理框架Spark的决策分析平台和嵌入式内存集群计算容错抽象,即弹性分布式数据集(rdd)。本文详细分析了新方法的可行性和优点,并提出了一些有待解决的问题。
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