A Machine Learning implementation on Internet of Things Smart Meter Operations

Authors

  • Srisudha Garugu  Assistant Professor Pydah College of Engineering And Technaology, Gambheeram,Visakhaptnam, Andhra Pradesh, India
  • Srisatya Kalyani Anala  Assistant Professor Pydah College of Engineering And Technaology, Gambheeram,Visakhaptnam, Andhra Pradesh, India

Keywords:

Analytics, Bayesian Networks, Cyber-Physical Systems (CPS), Decision Support System, Information and Communication Technologies (ICT), Internet of Things (IoT), Machine Learning, Machine-to-Machine (M2M), Operations and Maintenance, Smart Cities, Smart Grid, Smart Meters, Utility.

Abstract

An Internet of Things’ (IoT) attached network and structures reshow an incredible archetype shuffle. We suggest a scheme to get a compromise-support structure (DSS) a well known operates inside the IoT reorganization. The DSS leverages progressed data of electrical resourceful feet (ESM) chain communication-quality testimony to recuperate lose forecasting’s for quick swing field operations and supply tribal resolution recommendations relating to even if to issue a scholar to a patron whereabouts to get to the bottom of an ESM send. The style is temporarily evaluated the use of input sets originating at a monetary net. We teach the competence of our manner having a finish Bayesian Network forecast style and relate with triple neural networks prophecy variety classifiers: Naïve Bayes, Random Forest and Decision Tree. Results testify to who our method generates statistically memorable estimations and which the DSS determination get better the price competence of ESM web operations and maintenance.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-02-28

Issue

Volume 3, Issue 1, January-February-2018

Section

Research Articles

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How to Cite

[1]
Srisudha Garugu, Srisatya Kalyani Anala, " A Machine Learning implementation on Internet of Things Smart Meter Operations, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.593-599, January-February-2018.