Prediction of Electricity usage in Industries by Big Data
PVRD Prasad Rao1, Ch.Malyada2, R. Keerthana3, T. Tejaswanth4
1Chelikani Malyada*, Student, Department of CSE, KL University, Guntur, Andhra Pradesh, Tadepalligudem, India
2Ratnam Keerthana, Student, Department of CSE, KL University, Guntur, Andhra Pradesh, Vijayawada, India
3Dr. P. V. R. D. Prasad Rao, Professor, Department of CSE, KL University, Guntur, Andhra Pradesh, India.
4R.Keerthana, Student, Department of CSE, KL University, Guntur, Andhra Pradesh, Vijayawada, India.
Manuscript received on December 16, 2019. | Revised Manuscript received on December 27, 2019. | Manuscript published on January 10, 2020. | PP: 3059-3062 | Volume-9 Issue-3, January 2020. | Retrieval Number: C8375019320/2020©BEIESP | DOI: 10.35940/ijitee.C8375.019320
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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: Electrical industry is a main source industry in which where almost every other industry of many kinds are dependent on it. Not only the industries but also many Smart cities are connected with the different supply of current in which the current is used and to run the homes with the power supply. In the base paper we have taken the PMU data is collected which contain magnitude and phase angle components of the readings from PMU and the details of the fluctuations, deviations are only given so we have gone some extension to the paper and we have done the forecasting of the data by taking more of components like Log time, current voltage (CV), active power (AP), reactive power (RP), apparent power, power factor, temperature, product weight and we are forecasting the data: To predict the energy usage. To provide monthly billing information and graphical report. To provide individual home appliance unit graphical report. Alert message service for the consumer.
Keywords: PMU, CV, AP, RP.
Scope of the Article: Big Data Networking