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The Power Big Data Applications for Intelligent Community in Smart Grid

摘要


With the development of smart grid and internet of things, more systems can improve the intelligent community, such as intelligent electricity, distributed clean energy and electric vehicles etc. These intelligent community systems generate massive data. In this paper, we carry out various power big data applications and integrate the cloud computing technology and business intelligence to build a novel business intelligence system. Meanwhile, based on Hadoop, HBase, Hive etc., we realize the ETL, OLAP, data mining and BIReport functions. Also we present a novel parallel algorithm to achieve the data mining algorithms and data analysis algorithms, and solve the issue of processing speed of large-scale data analysis. We have deployed the business intelligence system in Gansu Province, Beijing, Shanghai and other areas of China, where good results have been achieved. In terms of energy efficiency, it can save more than 8% costs, while increasing the functions of the intelligent community, and realize the intelligent life preliminarily.

被引用紀錄


林德全(2015)。運用關聯規則探勘輔助生產管理決策-以案例公司為例〔碩士論文,國立交通大學〕。華藝線上圖書館。https://doi.org/10.6842/NCTU.2015.00234
曾冠倫(2017)。以工業4.0為基礎之智慧工廠大數據平台建置〔碩士論文,中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu201700450
吳冠頤(2017)。工業4.0下臺灣智慧家電發展趨勢-以J公司為例〔碩士論文,國立臺北商業大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0064-0201201815280310

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