Research on hotel energy intelligent monitoring system and service improvement based on data mining and cloud computing

Abstract

Many modern hotels have multiple functions such as accommodation, catering, entertainment, conferences, exhibitions, etc., and consume a lot of energy. At present, most of the predictions of building energy consumption are predictions of building cooling and heating loads and lighting energy consumption. The consideration is lack of building cooling (heating) area ratios, building cooling (heating) methods, meteorological parameters, and personnel activity patterns for large public buildings. By analyzing the data mining status of hotel energy consumption, sorting out concepts and technical support conditions, etc., the article has established a more comprehensive energy monitoring, forecasting, and evaluation system, which has enriched the research scope of the current hotel energy management research system, and has a strong Theoretical significance.