The Power System Analysis Based on Neural Network

DOI

10.2991/ipemec-15.2015.225How to use a DOI?

Keywords

Deep Neural Network; Power System; System Performance; System Optimization

Abstract

With the rapid and bursting development of pattern recognition technique and power system theory, the combination of the two is urgently needed. We argue that a filter bank that is designed from perceptual evidence is not always guaranteed to be the best filter bank in a statistical modeling framework where the end goal is word error rate. Therefore, to combine the proposed techniques with the neural network, we conduct theoretical analysis and numerical simulation on the power systems. The experimental analysis and numerical simulation indicate that our proposed approach performs well and contains satisfactory robustness.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

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

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TY  - CONF
AU  - Yang Chen
PY  - 2015/05
DA  - 2015/05
TI  - The Power System Analysis Based on Neural Network
BT  - Proceedings of the 2015 International Power, Electronics and Materials Engineering Conference
PB  - Atlantis Press
SP  - 1203
EP  - 1207
SN  - 2352-5401
UR  - https://doi.org/10.2991/ipemec-15.2015.225
DO  - 10.2991/ipemec-15.2015.225
ID  - Chen2015/05
ER  -