Data mining and analysis for predicting electrical energy consumption

In this study paper, the feasibility of constructing a complete smart system for anticipating electrical power consumption is created, as electricity's market share expected to expand over future decades. Smart grids and meters will help utility companies their customers soon. New services businesses in energy management need software development data analytics skills. enterprises are competitive. The project's electricity consumers categorized by hourly usage percentage. This classification was done using mining (five algorithms specific) analysis theory. division aims each group minimize use expenditures, encourage energy-saving activities, promote consumer involvement giving tailored guidance. intended segmentation through an iterative process computer computation, post-analysis, with visualization statistical methodologies.