Abstract
he article deals with the improvement tasks of power consumption model construction procedure of water supply facilities as a part of energy planning stage in energy management system. Interconnection of power consumption planning task with daily water consumption to which influence climatic and social factors have been substantiated. Search of similarities in daily graphs of water consumption from the network using cluster analysis, which is done in two stages, has been proposed to realize for taking into consideration of their influence. For this based on parameters of description the daily graphs have been formed two sets of informative classification characteristics. Classical indicators of irregularity graphs description have been used to identify the influence of seasonality. Morphometric parameters have been used to detect the influence of social factors. Formed clusters reflect the seasons influence and the water consumption specificity during working and weekend (holiday) days. It allows defining the period for collecting data on values of input variables that influence over the power consumption, and the actual power consumption. Procedure of determining the average value of daily water consumption and limits of its change for each cluster has been proposed for taking into consideration of seasonality influence. The power consumption model has been presented by equation multifactor regression with taking into consideration of characteristics that indicate to accordance of the day to the season and to the character of the day. Field of model use is limited by change of seasonal water consumption and the day type that defines the operation mode of pumping units and its parameters. Using the proposed principles allows taking into consideration the water supply mode parameters that are previously planned for this day. It also allows getting power consumption model that is differential to season and day of the week, and perform energy baseline construction for a specific period (day).
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