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Information × Registration Number 0210U001783, 0107U011576 , R & D reports Title Development of hourly electric load forecasting methods based on computational intelligence and data mining information technologies popup.stage_title Head Bodyanskiy Yevgeniy Volodymyrovych, Доктор технічних наук Registration Date 30-03-2010 Organization Kharkiv National University of Radioelectronics popup.description2 The object of study - information technologies of computational intelligence and data mining. Subject of the study - methods of hourly energy consumption forecasting based on information technologies of computational intelligence and data mining. The aim - creation of new methods of hourly energy consumption forecasting that can handle information given in different scales of measurement, and based on the mathematical apparatus of artificial neural and neuro-fuzzy networks. Research methods - data mining on the basis of computational intelligence. Methods for intelligent processing and analysis of energy consumption time series are developed based on computational intelligence methods using neural and neuro-fuzzy networks. The problem of data preprocessing is solved aimed at elimination of missing and anomalous values. Also methods for the obtained time series forecasting for given intervals (1-168 hours ahead) are developed. Product Description popup.authors Бодянський Євгеній Володимирович Попов Сергій Віталійович Сліпченко Олена Вікторівна popup.nrat_date 2020-04-02 Close