Publication

Abstract : Data mining plays an important role in the business world and it also helps in the field of electricity to predict the usage patterns of the houses. At present there is a severe scarcity for electricity. So, electric data in real time is taken and analyzed using data mining techniques. By analyzing the real time electricity data we could understand the importance of supply chain. Real time electricity data was collected from houses using smart meters. Implementation of smart meters gives the detailed data about level of usage of appliances by consumer. To improve the supply of electricity, our primary challenge is to analyze the electricity consumption data. To analyze the data we have chosen mining techniques such as data pre-processing and understanding, clustering, frequent patterns. In this paper, we use these techniques and apply on REDD datasets which contain the usage statistics of six houses. After analyzing the data, we can understand the importance of the data by looking into results. This study can facilitate the electricity board to improve the efficiency in the supply of electricity. This study helps to find the usage patterns of individual houses and the devices with higher load. These mining techniques can further be implemented on larger datasets like regional wide or city wide or state wide.