Int. J. Advanced Networking and Applications Volume: 10 Issue: 04 Pages: 3974-3980 (2019) ISSN: 0975-0290 3974 Survey on Electricity Consumption using Data Mining Techniques K. Kalaiselvi Research Scholar, Department of Computer Science, Government arts college, Udumalpet-642126 Email: kalaisree5@gmail.com Dr. J. Abdul Samath Assistant professor, Department of Computer Science, Government arts college, Udumalpet-642126 Email: abdul_samath@yahoo.com ------------------------------------------------------------------- ABSTRACT--------------------------------------------------------------- Electric energy consumption is the extent of energy or power used. This is the actual energy stipulate made on existing electricity supply. The biggest reason why it is important to be energy conscious and why to make every effort to conserve our electricity are conservation can save our money and Fossil fuels are not a clean source of energy either. Conservation of electrical energy can help to reduce greenhouse gas emissions. Data mining is one of the effective methods to analyze the electricity consumption. Data mining is the process of discovering useful patterns from the database. Association rule and K-means clustering has widely used data mining technique to analyze the electricity consumption. Keywords - Association rule, Data mining, Electricity consumption, K-means clustering, MATLAB, WEKA. -------------------------------------------------------------------------------------------------------------------------------------------------- Date of Submission: Oct 16, 2018 Date of Acceptance: Nov 13, 2018 -------------------------------------------------------------------------------------------------------------------------------------------------- I. Introduction Data mining is the nontrivial extraction of implicit, previously unknown, and potentially useful information from data. The process of employing one or more computer learning techniques to automatically analyze and extract knowledge from data contained within a database. Data mining is used to make good decisions. It's divided into predictive and descriptive models. The predictive model is known as supervised learning. It predicts unknown values based on known data. Association rule is a rule-based machine learning method for discovering interesting relations between variables in large databases. It is intended to identify strong rules discovered in databases using some measures of interestingness. The descriptive model is known as unsupervised learning. It identifies the patterns in data. Clustering is the process of organizing objects into groups whose members are similar in some way. K-means clustering is the most common partitioning algorithm. K-Means re-assigns each record in the dataset to only one of the new clusters formed. A record or data point is assigned to the nearest cluster (the cluster which it is most similar to) using a measure of distance or similarity. India is the world’s third largest electricity producer. The electricity usage is inevitable to each and everyone. The biggest reason for less consumption of electricity is to conserve our electrical energy. The emerging challenges and issues in the energy market of the twenty first century is the changes in the electrical systems are inevitable. Generally the electricity is generated by renewable and nonrenewable energies. Fossil fuels which come under nonrenewable energy is not a clean source of energy either. 1.1 Renewable resource A natural resources is fairly straightforward to interchange that embrace wood, wind, sunshine, heat energy, biomass and water hold on behind dams in lakes and reservoirs. Electricity are often created victimization many forms of renewable resources. Wind energy will turn out electricity in regions wherever steady winds blow. Giant wind turbines capture the wind's energy and use it to power generators. Biomass is material that is shaped from living organisms, like wood or agricultural wastes. Biomass are often burned to provide electricity, or regenerate to a gas and used for fuel. Geothermal energy uses predicament or steam from deep to a lower place the layer to supply electricity. Hydroelectric power is generated victimization the energy created by falling water to spin the generator turbines of electricity power plants and build electricity. Solar energy may also be accustomed turn out electricity. star cells modification the energy of the sun into voltage. Some calculators and moveable radios square measure supercharged by star cells. star panels, or modules, placed on a top side will offer electricity to the building below. 1.2 Nonrenewable resource Fossil fuels, that embody coal, oil and fossil fuel, ar unrenewable as a result of it took uncountable years for them to make. several power plants use fossil fuels. The fuel is burned to supply heat, that is employed to create steam. The steam is then wont to flip the blades of a rotary engine. Some power plants run on nuclear energy, that is another unrenewable resource.