No abstract

The energy requirement for household usage in residential buildings has increased rapidly in recent years. The storage method, user behaviour, and transmission method have major impact on the quantity and quality of energy consumed in daily scenario. This paper presents existing techniques with a research focus on improving energy efficiency. The goal of this research effort is to analyze the research gap to discover efficient method for object tracking and real-time monitoring of household items through identification of effective use of alternative sources of energy and improper use of energy using sequence patterns. The monitoring of the different states of moving objects poses a challenge which needs to be addressed in real-life applications to improve communication among system components and the end users. This paper presents proposed model to address the energy issues and discusses major advantages and limitations of existing methods that use data mining for energy conservation.