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dc.contributor.authorSetiawan, Dedy Kurnia
dc.contributor.authorAnggraeni, Rina
dc.date.accessioned2017-08-24T05:27:38Z
dc.date.available2017-08-24T05:27:38Z
dc.date.issued2017-08-24
dc.identifier.isbn978-0-7354-1486-0
dc.identifier.urihttp://repository.unej.ac.id/handle/123456789/81450
dc.descriptionAIP Conf. Proc. 1818, Engineering International Conference (EIC) 2016en_US
dc.description.abstractFor optimization of electricity production, especially in the thermal power plant r equir ed analysis of input output characteristics and operated optimally. Input-output characteristics will oversee the curve and detected the plant need for maintenance or not. Input-output characteristics can be calculated by quadratic least squares regression method. Operated load properly, making electricit y production corr esponding maximum desired load with lowest cost. Load calculations performed by dynamic genetic algorithm method. This method is applied to data from PT. Pembangkit Jawa Bali (PJB) Unit Pembangkit Gresik in July 2015 has saving 3.162,9147 kNm 3 (kilo Normal cubic meters) fuel consumption and $22,773 fuel costs compared PJB. While applied to data December 2012 has saving 16.532,2189 liters fuel consumption and $84,654.79 fuel costs compared PT. PJB.en_US
dc.language.isoenen_US
dc.subjectCharacteristic and Generation Cost Optimizationen_US
dc.subjectAnalysis of Input-Outputen_US
dc.subjectQuadratic Least Square Regressionen_US
dc.subjectDynamic Genetic Algorithm Methoden_US
dc.subjectPT.PLN PJB UP Gresiken_US
dc.titleAnalysis of Input-Output Characteristic and Generation Cost Optimization Using Quadratic Least Square Regression and Dynamic Genetic Algorithm Method: Case study PT. PLN PJB UP Gresiken_US
dc.typeProsidingen_US


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