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Heterogeneous data source integration for smart grid ecosystems based on metadata mining

被引：20
|
作者：
Guerrero, Juan I. [1 ]
Garcia, Antonio [1 ]
Personal, Enrique [1 ]
Luque, Joaquin [1 ]
Leon, Carlos [1 ]
机构：
[1] Univ Seville, EPS, Dept Elect Technol, C Virgen Africa 7, Seville 41011, Spain
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 2017年 / 79卷
关键词：
Smart grids; Large-scale integration; Data mining; Standards; Metadata mining; Big data; MANAGEMENT; ENERGY;
D O I：
10.1016/j.eswa.2017.03.007
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The arrival of new technologies related to smart grids and the resulting ecosystem of applications and management systems pose many new problems. The databases of the traditional grid and the various initiatives related to new technologies have given rise to many different management systems with several formats and different architectures. A heterogeneous data source integration system is necessary to update these systems for the new smart grid reality. Additionally, it is necessary to take advantage of the information smart grids provide. In this paper, the authors propose a heterogeneous data source integration based on IEC standards and metadata mining. Additionally, an automatic data mining framework is applied to model the integrated information. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码：254 / 268
页数：15
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