Big data in electricity-visualization aspect

Ilir Keka, B. Çiço
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Abstract

Nowadays, the rapid development of technology has made it possible to store the data in memory with high capacity. There are various sources from where the data are collected or generated Moreover, the speed of updating and processing the data is very important to many organizations. Big Data is a concept the covers capacity, speed and different formats of data in many organizations. The aim of this paper is to analyze the Big Data in electricity using visualization aspect. Also, it gives an overview of features and sources of Big Data. The visualization on electricity data is made based on Revolution R Enterprise (RRE) tool. Writing scripts in RRE is found the relationship between electricity load and time. This relationship is illustrated using the line of best fit and the smoothing line. Also, some statistical parameters are computed and the relationship of data is evaluated using visualization.
电力可视化方面的大数据
如今,科技的飞速发展使得在内存中存储大容量数据成为可能。收集或生成数据的来源多种多样。此外,更新和处理数据的速度对许多组织来说非常重要。大数据是一个概念,涵盖了许多组织中数据的容量、速度和不同格式。本文旨在从可视化的角度对电力大数据进行分析。同时,概述了大数据的特点和来源。基于Revolution R Enterprise (RRE)工具对电力数据进行可视化处理。在RRE中编写脚本,发现了电力负荷与时间的关系。这种关系用最佳拟合线和平滑线来说明。此外,还计算了一些统计参数,并利用可视化技术评估了数据之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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