Abstract
AbstractSelf-organizing maps (SOM) are excellent tools to extract and visualize information from large scale systems. In this paper, these maps are used to analyze data from an electric power system in a group of buildings. An experiment has been proposed to study the electric power consumption in these buildings according to the electricity tariff in order to achieve energy and economic savings. The input space of the SOM is mainly composed of a set of electric, meteorological and time period variables. Component planes and hit maps have been used for visualization. It has been proven that hit maps produce a close approximation to the real energy consumption.
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