Fuzzy-Based Energy Management System With Decision Tree Algorithm for Power Security System

DOI

10.2991/ijcis.d.191016.001How to use a DOI?

Keywords

Energy security; Power security service; Incursion detection system; Artificial neural network

Abstract

Energy security (ES) has great impact on power grids. Therefore it is important to have power security service (PSS). The PSS should be designed to handle interference and interruption attack in the grid. The interference and interruption attack in the grid is handled by incursion-detection system (IDS). The IDS is the most obtainable strategy to sense and classify different security issues and abnormal issues that occur in power grids. Therefore the IDS have to be up to date with the latest issues that happened in the entire grid. The proposed concept illustrate the collection of data with reference to intrude-attacks in power-grid and to test and evaluate different machine-learning strategy to illustrate the different attacks and issues that happen in power system grid. The research work is illustrated with a modified J48 decision tree algorithm.

Copyright

© 2019 The Authors. Published by Atlantis Press SARL.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - K. Ramya
AU  - Yuvaraja Teekaraman
AU  - K. A. Ramesh Kumar
PY  - 2019
DA  - 2019/10/21
TI  - Fuzzy-Based Energy Management System With Decision Tree Algorithm for Power Security System
JO  - International Journal of Computational Intelligence Systems
SP  - 1173
EP  - 1178
VL  - 12
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.191016.001
DO  - 10.2991/ijcis.d.191016.001
ID  - Ramya2019
ER  -