Data analysis in process of energetics resource optimization

The distribution and management of energetic resources are the source of big amount of data in structured or unstructured form. These data are collected in a targeted or a random fashion manner for the purpose of efficient distribution and management in the required timeframe. Urban as well as industrial complexes are typical environments where are generated these data. In this process, there are data that are deliberately collected in order to generate the required reporting and outputs for management decision. Input data are the basis of reporting which can have simple or detailed format. In this work we are collecting random input data with intricate structure that cannot simply interpreted and explain in relation with others. The topic of our paper is focused on the interpretation of collected data that is oriented to energetic resources in regional city. We are describing the process of data collection, data cleaning, analysis, identification of relations, informational links, visualization, and interpretation. By analysis of these data we propose information value, which can be exploited in management decision to reduce the cost of electricity and the gas there.