An Application of Genetic Programming for Power System Planning and Operation
Created by W.Langdon from
gp-bibliography.bib Revision:1.8120
- @Article{Behera:2012:ACEEijcsi,
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author = "R. Behera and B. B. Pati and B. P. Panigrahi and
S. Misra",
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title = "An Application of Genetic Programming for Power System
Planning and Operation",
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journal = "ACEEE International Journal on Control System and
Instrumentation",
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year = "2012",
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volume = "3",
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number = "2",
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pages = "15--20",
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month = mar,
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note = "Special Issue",
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keywords = "genetic algorithms, genetic programming Computer Aided
Engineering, Mutation, Fitness Function",
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ISSN = "2158-0006",
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broken = "http://searchdl.org/index.php/journals/journalList/1",
-
searchdl = "ID: 01.IJCSI.3.2.59",
-
bibsource = "OAI-PMH server at hal.archives-ouvertes.fr",
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language = "ENG",
-
oai = "oai:hal.archives-ouvertes.fr:hal-00741655",
-
broken = "http://hal.archives-ouvertes.fr/hal-00741655",
-
URL = "http://hal.archives-ouvertes.fr/docs/00/74/16/55/PDF/59.pdf",
-
URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.592.7439",
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size = "6 pages",
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abstract = "This work incorporates the identification of model in
functional form using curve fitting and genetic
programming technique which can forecast present and
future load requirement. Approximating an unknown
function with sample data is an important practical
problem. In order to forecast an unknown function using
a finite set of sample data, a function is constructed
to fit sample data points. This process is called curve
fitting. There are several methods of curve fitting.
Interpolation is a special case of curve fitting where
an exact fit of the existing data points is expected.
Once a model is generated, acceptability of the model
must be tested. There are several measures to test the
goodness of a model. Sum of absolute difference, mean
absolute error, mean absolute percentage error, sum of
squares due to error (SSE), mean squared error and root
mean squared errors can be used to evaluate models.
Minimising the squares of vertical distance of the
points in a curve (SSE) is one of the most widely used
method .Two of the methods has been presented namely
Curve fitting technique and Genetic Programming and
they have been compared based on (SSE)sum of squares
due to error.",
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notes = "broken April 2019 http://ijcsi.theaceee.org/",
- }
Genetic Programming entries for
R Behera
Bibhuti Bhusan Pati
Bibhu Prasad Panigrahi
S Misra
Citations