DATA VERIFICATION AND VALIDATION IN THE AUTOMATED SYSTEM OF ENERGY
CONSUMPTION MONITORING AND MANAGEMENT 

Makarychev Petr Petrovich, Doctor of engineering sciences, professor, head of sub-department of software and computer application, Penza State University (40 Krasnaya street, Penza, Russia), makpp@yandex.ru
Gur'yanov Lev Vyacheslavovich, Candidate of engineering sciences, associate professor, sub-department of software and computer application, Penza State University (40 Krasnaya street, Penza, Russia), leo8087@yandex.ru
Tsukarev Eduard Vladimirovich, Postgraduate student, Penza State University (40 Krasnaya street, Penza, Russia), tsukarev.ed@gmail.ru

004.422

10.21685/2072-3059–2016-4-1

Background. Monitoring, accounting and operational management of various energy flows is becoming more relevant and important due to the constant increase in energy costs and the need to reduce production costs. Obtaining and using accurate real-time information on energy consumption is a necessary condition for effective settling of energy saving and energy efficiency problems. The use of integrated automated systems of energy consumption monitoring, management and data collection can significantly reduce costs and minimize errors in resource data counters. The purpose of this work is to develop algorithms for energy consumption data verification and validation, providing primary data credibility.
Results. The have proposed verification and validation algorithms that detect false data values based on the analysis of the rate of changes, adequacy and ratios of parameters and replace false values with true ones. The researchers investigated temporal characteristics of primary data processing on the basis of the proposed algorithms in the automated system of energy consumption control and management.
Conclusions. The obtained results allow to assert that the use of verification and validation algorithms provides solutions to the problems of obtaining accurate realtime information on energy consumption.

verification, validation, collection server and data consolidation, energy efficiency, integrated automated system

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