Analyzing Electricity Consumption Behavior Of Households Using Big Data Analytics

Abstract In a competitive retail market is looking to analyze their customer each and every power usagedata into a smart meters that provide lots of opportunity for power board to gain more knowledge on customer’s power usage in a large volumes of smart grids meters data. There are a lot of analytical solutions to provide the power usage of households but these solutions are not provided that power of utilization there is a lot of need for analyzing power usage of households data analytics, which includes the relation with type of power usage(laundry, kitchen, heaters and AC etc).The system proposes in finding the power usage by implementing levels of clustering algorithms that fits the best models to locate the households of power usage in varioussituation and areas. The proposed methods find the various power expenditure behaviors like day type, time and season in a large data set. Keywords:Big Data, Power usage, Analyzing household data, Smart meters, Data Analytics, Day type, Season and Sub meters