jaue20130042: Analysis of Electricity Load Pattern using Clustering for Large Hotel

Abstract

With the constant development of national economy, and large-scaling and mixed-use of buildings, Electricity consump-tion in 2010 compared to 2007 increased by approximately 20.8%. Also, Electricity demand pattern is a trend that is gradu-ally changing. In the perspective of national energy and security, it is also required to manage and predict the electricity loadpattern of energy glutton buildings for technically and economically evaluating the energy management of buildings and finding alternatives. Large hotel buildings serve their advanced functions as a place that multiple unspecified guest use. It shows their increas-ing energy consumption and energy demand. It is an object of the characteristics analysis of electricity load pattern for de-veloping of efficient energy management by using the LOAD DATA electricity of large hotel buildings. Clustering that to identify similar objects, to classify the time-series data was applied. Through clustering, typical electricity consumption pattern of large hotel buildings are derived. And Pattern characteristics were analyzed. In this regard, it analyzed the correlation of electricity load patterns and rooms demand in large hotels of electricity glutton building. Through this, this paper is able to contribute to not only managing the electricity load of energy glutton buildings, but also eveling off electricity load.