Open AccessPrediction of electric power consumption by nuclear power plants for covering plant needs using data mining methods
Author(s) -
Marina Aleksandrovna Kleshchyova,
Alexander Nakhabov
Publication year - 2015
Publication title -
nuclear energy and technology
Language(s) - English
Resource type - Journals
ISSN - 2452-3038
DOI - 10.1016/j.nucet.2016.02.010
Subject(s) - electric power , nuclear power plant , consumption (sociology) , nuclear power , reliability engineering , power station , power (physics) , power consumption , process (computing) , base load power plant , computer science , electric power system , engineering , electrical engineering , ecology , social science , physics , quantum mechanics , sociology , nuclear physics , biology , operating system
In the process of its operation nuclear power plant consumes significant amounts of electric power – the so-called power consumption for coverage of plant needs. According to the practice existing in Russia, nuclear power plant must order in advance from the power supply grid operator the required quantity of electric power, while deviations of factual electric power consumption from the forecasted value one way or another entail payment of certain financial penalties. Because of this reason accuracy of forecasting the electric power consumption for the nearest coming period attains special importance. Application of different methods of data analysis for forecasting electric power consumption by NPPs using factual data is addressed and comparison of these methods between each other, as well as with those currently in application by NPPs is made. As the result, a method is suggested for forecasting NPP power consumption for coverage of plant needs with significantly higher accuracy of forecasting