Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science

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Power System Load Modeling Based On Gene Expression Programming

Authors
Jian Zhang, Jinyue Pan
Corresponding Author
Jian Zhang
Available Online May 2014.
DOI
10.2991/lemcs-14.2014.257How to use a DOI?
Keywords
Gene Expression Programming;Genetic Operators;Least Squares;Load Modeling;response curve;error
Abstract

A new method of power system load modeling based on gene expression programming, and apply the algorithm to authenticate the actual load analysis, and comparative analysis with load modeling used to the least squares method, explained the advantages and disadvantages of GEP algorithm ,to facilitate the study of the application of power system load modeling later.

Copyright
© 2014, 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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Volume Title
Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
Series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
978-94-6252-010-3
ISSN
1951-6851
DOI
10.2991/lemcs-14.2014.257How to use a DOI?
Copyright
© 2014, 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/).

Cite this article

risenwbib
TY  - CONF
AU  - Jian Zhang
AU  - Jinyue Pan
PY  - 2014/05
DA  - 2014/05
TI  - Power System Load Modeling Based On Gene Expression Programming
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 1148
EP  - 1151
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-14.2014.257
DO  - 10.2991/lemcs-14.2014.257
ID  - Zhang2014/05
ER  -