IEEJ Transactions on Power and Energy
Online ISSN : 1348-8147
Print ISSN : 0385-4213
ISSN-L : 0385-4213
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The Classification and Utilization for Diagnosis and Anomaly Detection of Energy-related Big Data
Hiroshi Kobayashi
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2019 Volume 139 Issue 6 Pages 402-405

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Abstract

Investigating R&D committee on energy-related big data and their applications published the technical report about their investigating results. Energy-related big data is defined by 3V (volume, variety and velocity), and detailed results of investigating activities of the committee are described in this report. In this article, the author shows the outlines of energy-related big data applications in electrical power systems, power generation plants, renewable energy using power generations and electrical installations of customers.

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© 2019 by the Institute of Electrical Engineers of Japan
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