Data analysis of energy surveys by preference aggregation method

Systematic conducting energy surveys of power networks to identify a possible energy loss is the basis for energy saving and energy efficiency. In the paper, a preference aggregation based method is proposed to arrange the big data of instrumental investigations of auxiliary power consumption by substations of electric power distribution networks. This approach provides a compact integral ordinal scale estimate of substations' energy consumption for own needs, which can provide a rapid decision making and visualization. Application of the proposed method for processing energy survey data of real backbone electric grids of Russia is discussed.