Smart Meter Analysis Using Big Data Techniques

In the present-day, many government firms and global companies pay emphasis on energy conservation and efficient use of energy. The smart meter data have mapped a way to use energy efficiently. The need to use energy in an efficient way is very much required for developing countries like India. The emergence of smart meter gave us access to huge amounts of energy consumption data. It is an electronic component that records utilization of electric energy at regular intervals of time, be it hours, minutes, or seconds. This paper proposes a different method for grouping electricity consumption. Through smart meter, we get a huge amount of energy consumption data. These data are analyzed by various energy distribution companies which further leads to prediction of demand and consumption of user. Our paper uses a business intelligence tool such as map reduction to handle these data sets. Taking the advantage of this tool, energy distribution companies can reduce the investment by making the use of community hardware. Using distributed computing tools we can reduce the processing time appreciably to enable real-time monitoring and decision-making. Further, R is integrated to it to perform analysis. Various data sets are used to check the potential of the proposed models and approaches.