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

作者：

Highlights：

• A new technique based on metadata is proposed: metadata mining.

• An intelligent integration system for heterogeneous data sources is described.

• An adaptive data mining tool for the integrated data sources is proposed.

• Successful results are obtained in application in real data bases from research projects.

摘要

•A new technique based on metadata is proposed: metadata mining.•An intelligent integration system for heterogeneous data sources is described.•An adaptive data mining tool for the integrated data sources is proposed.•Successful results are obtained in application in real data bases from research projects.

论文关键词：Smart grids,Large-scale integration,Data mining,Standards,Metadata mining,Big data

论文评审过程：Received 3 October 2016, Revised 1 March 2017, Accepted 2 March 2017, Available online 4 March 2017, Version of Record 11 March 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.03.007