Igor N. Fomin -Post-graduate Student, Department of Applied Informatics and Software Engineering, International School of Applied Information Technology, Yuri Gagarin State Technical University of Saratov.
Address: 77, Politechnicheskaya Street, Saratov, 410054, Russian Federation.
E-mail:ignik16@yandex.ru  

Nadezhda V. Serdyukova - MSc Program Student, Department of Applied Informatics and Software Engineering, International School of Applied Information Technology, Yuri Gagarin State Technical University of Saratov.
Address: 77, Politechnicheskaya Street, Saratov, 410054, Russian Federation.
E-mail: serdukova@orgcentr.com  

      This article addresses building a computational model for measuring electric power in information systems designed to support automated pricing in the retail electricity market of the Russian Federation.
      The object of this study is the retail electricity market and business processes of retail power supply enterprises. The subject of the study is arrays of energy consumption habits data.
      The purpose of this study is to build a conceptual framework and an information system model enabling to calculate retail prices and costs of electric power consumed.
      This study has solved the following tasks:
·      to identify entities that constitute parameters to calculate electric power prices and costs;
·      to classify user data and estimate data involved in automated pricing, and to formulate classification criteria;
·      to select various options to integrate these parameters;
·      to simulate the structure of a database that forms the computational model for measuring electric power.
      This paper presents definitions of user data and estimate indicators, which are elements of industry-specific corporate information systems, describes underlying principles applied to build the computational model for measuring electric power when designing and implementing meter-to-cash systems, as well as formulates definitions of various electric power concepts from the perspective of information technologies.
      Pricing in the retail electricity market has been regarded as a socio-economic process, towards which mathematical simulation and systems analysis methods have been applied. The suggested classification criteria and rules for links building in the database structure enable to ensure sustainable element links and organization that has manifested itself in revealed decrease in entropy of the system as a whole compared to the backbone elements and factors.
      The detected and described links can offer practical help to address industry-specific software engineering and parametric adaptation challenges faced in development of meter-to-cash systems.
      This study involves simulation of the database structure that forms the computational model for measuring electric power enabling to operate various power supply contractual and technical inputs, as well as to determine retail prices and cost of electric power consumed.
      The theoretical and analytical research enabled the authors to create an innovative product – a software solution “AS Energo.UPEL” (certificate of state registration # 2013615624 issued on 17.06.2013) that has been successfully tested at power supply enterprises in several Russian regions.