Smart Meter Analytics for Optimizing the Utilization of Electricity using Arima, Navie & Holt Winter
P. Vidya Sagar1, Nageswara Rao Moparthi2, Mukesh Chinta3
1Dr. P. Vidya Sagar, Department of Information Technology, V R Siddhartha Engineering College, Vijayawada, India.
2Dr M. Nageswara Rao, Department of Computer Science Engineering, V R Siddhartha Engineering College, Vijayawada, India.
3Mr. Mukesh Chinta, Department of Computer Science Engineering, V R Siddhartha Engineering College, Vijayawada, India.
Manuscript received on 17 May 2019 | Revised Manuscript received on 24 May 2019 | Manuscript Published on 02 June 2019 | PP: 585-589 | Volume-8 Issue-7S2 May 2019 | Retrieval Number: G11000587S219/19©BEIESP
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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: Smart Meter data is trending at present. The Smart Meter data means data generated for every second. This kind of data is produced by smart meters so we are working on smart meter data for analysis. Smart meters have smooth way to use electricity effectively to compare with the digital meters in nature. These types of meters have been arranged across few nations since from 2ks. The universal organizations would utilizing these meters on provide exact electric Vitality utilization information with their clients. Those enormous sum from claiming information created Eventually Tom’s perusing keen meters each particular interim could be utilized to information analytics Furthermore furnish Different insights that camwood be determined for example, such that determining the electric demand, actualizing ToU Also duty costs and so on. Which will help both existing organizations What’s more clients. In this article we are analyzing data using 3 methods. Namely ARIMA, NAVIE & HOLT WINTER. We compare these methods by AIC measurements of their MAPE values.
Keywords: IOT, NAVIE, Smart Meters, ARIMA.
Scope of the Article: Computer Science and Its Applications