The development and implementation of decision support systems (DSS) based on modern methods of data processing, storage and analysis is an urgent task. As part of this work, an algorithm for optimizing the business processes of an IT company and a model for the functioning of a DSS were developed. The implementation of the proposed methods will improve the efficiency of IT companies.

Keywords: decision support system, business process, optimization, algorithm, IT company, data analysis, software, program code

At present, the state of the electric power industry is characterized by increased loads and a high level of wear and tear on equipment, which causes which causes increased attention to ensuring the reliability of the functioning of electric power facilities. In modern power systems an important role is assigned to sensors that monitor various parameters of the state of production assets. Improving the methods for mining, processing and analyzing data on the technical state of fixed assets is an actual task in conditions of transition to an actively-adaptive power grid (Smart GRID). The article analyzes the features of monitoring of electric power production assets. The structural diagram of electric power facilities was considered. Were highlighted selection methods controlled equipment parameters and determine their threshold values. For the processing and transformation received from the data monitoring systems, it is proposed to use an artificial neural network that will allow for the qualitative processing of the received information and to recognize the malfunctions in the operation of the sensors.

Keywords: electric power facility, Smart Grid, equipment monitoring, decision support system, neural network, data analysis

The article is dedicated to development of a mathematical model for evaluation of production assets in smart power grids state for decision support system. The results of equipment state evaluation can be used for prognosis of reliability of the asset and each of its components functioning for the time interval, for which various versions of technical solutions are considered.  

Keywords: decision support system, state assessment, Smart Grid