Interpretation of Urban Power Consumers Behaviors to Predict Power Loss in summer
Bharat Dangar1, S. K. Joshi2
1Bharat Dangar*, Department of Electrical Engineering, Faculty of Technology and Engineering, The M S University of Baroda, Gujrat, India.
2S. K. Joshi, Department of Electrical Engineering, Faculty of Technology and Engineering, The M S University of Baroda, Gujrat, India.
Manuscript received on September 19, 2019. | Revised Manuscript received on October 05, 2019. | Manuscript published on October 30, 2019. | PP: 563-565 | Volume-9 Issue-1, October 2019 | Retrieval Number: A9684109119/2019©BEIESP | DOI: 10.35940/ijeat.A9684.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: High Temperature In The Summer Of India. Interpretation Of Electricity Consumption Is Crucial In Summer For Urban Consumers. We Are Focus Here For Only Indian Summer Urban Customers Energy Consumption To Analysis And Predict Behavior Of Electricity Theft. Data Mining Techniques Are Employing To Analyses Indian Summer Urban Customers. Online Sequential Machine And Support Vector Machine Is Used For This Behaviors Classification And Prediction. Mainly we focus Support vector machine to classified consumers and online sequential machine is used to detect and predict consumers behaviors.
Keywords: Power Losses, Revenue, Urban, Summer, ELM, OS-ELM, Artificial Intelligent, Neural Network.