Natural gas prediction in Slovenian industry using genetic programming - case studies
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{155-kovacic,
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author = "Miha Kovacic and Bozidar Sarler and Franjo Dolenc",
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title = "Natural gas prediction in Slovenian industry using
genetic programming - case studies",
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booktitle = "8th International Scientific Conference Management of
Technology Step to Sustainable Production",
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year = "2016",
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editor = "Predrag Cosic",
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pages = "155--kovacic.pdf",
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address = "Porec, Istria, Croatia",
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month = jun # " 1-3",
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publisher = "Croatian Association for PLM",
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keywords = "genetic algorithms, genetic programming, natural gas
consumption prediction, chemical processing,
modelling",
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URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/155-kovacic.pdf",
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broken = "http://motsp2016.org/",
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URL = "http://cobiss.izum.si/scripts/cobiss?command=DISPLAY&lani=en&base=COBIB&RID=4384251",
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ISSN = "1849-7586",
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size = "6 pages",
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abstract = "In accordance with Energy Agency of the Republic of
Slovenia regulations, each natural gas supplier
regulates and determines the charges for the
differences between the ordered (predicted) and the
actually supplied quantities of natural gas. Yearly
charges for these differences represent up to 2percent
of supplied natural gas costs. All the natural gas
users, especially industry, have huge problems finding
the proper method for efficient natural gas consumption
prediction and consequently, decreasing of mentioned
costs. In this paper the prediction of the natural gas
consumption in Store Steel ltd. (steel plant) and
Cinkarna ltd. (chemical processing plant) is presented.
Based on production data several models for natural gas
consumption have been developed using genetic
programming method. The developed approach is extremely
practical.",
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notes = "MOTSP-2016 COBISS.SI-ID 4384251",
- }
Genetic Programming entries for
Miha Kovacic
Bozidar Sarler
Franjo Dolenc
Citations