Open AccessInterpretation of Urban Power Consumers Behaviors to Predict Power Loss in Summer
Author(s) -
Bharat Dangar,
S. K. Joshi
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a9684.109119
Subject(s) - support vector machine , electricity , consumption (sociology) , focus (optics) , interpretation (philosophy) , computer science , power consumption , energy consumption , power (physics) , machine learning , environmental economics , artificial intelligence , engineering , economics , sociology , social science , physics , optics , quantum mechanics , electrical engineering , programming language
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.