SMART GRID USING MACHINE LEARNING

Authors

  • P. SREELATHA
  • PRAGNYA PATNAMSHETTY
  • SAI SWETHA KADIYAM

DOI:

https://doi.org/10.46243/jst.2023.v8.i06.pp120-123

Keywords:

Smart Grid, Blackout, Machine Learning, analysis, visualization.

Abstract

- In today‟s world, wastage of energy has become more frequent which leads to build a system which will take another way to maintain power generation and make proper distribution of energy and that system is called as SMART GRID.In this paper we will be making a Smart Grid which will overcome these issues by using Machine Learning. We will be using solar data power generation prediction by machine learning. This paper will help production or utility company to get knowledge of how much they have generate and distribute. By his paper blackout and energy wastage can be reduced.we developed the application which shows energy generation and user log.

References

H. Gharaviand, R. Ghafurian, „„Smartgrid: The electric energy system of the future [scanning the issue],’’ Proc. IEEE, vol. 99, no. 6, pp. 917–921, Jun. 2011

S. Aman, M. Frincu, C. Chelmis, M. Noor, Y. Simmhan, and V. K. Prasanna, „„Prediction models for dynamic demand response: Requirements, challenges, and insights’’. in Proc. IEEE Int. Conf. Smart Grid Commun. (Smart Grid Comm), Nov. 2015, pp. 338–343

C. Gamarra, J.M. Guerrero, and E. Montero, „„A knowledge discovery in databases approach for industrial microgrid planning,’’ Renew. Sustain. Energy Rev., vol. 60, pp. 615–630, Jul. 2016

P.D. Diamantoulakis, V.M. Kapinas, and G.K. Karagiannidis, „„Bigdata analytics for dynamic energy management in smart grids, ‘‘Big Data Res., vol. 2, pp. 94–101, Sep. 2015

V. Madani et al., „„Distribution automation strategies challenges and opportunities in a changing landscape,’’ IEEE Trans. Smart Grid, vol. 6, no. 4, pp. 2157–2165, Jul. 2015

Soliman, H. and Leon-Garcia, “A. Game-theoretic demand-side management with storage devices for the future smart grid”

J. Rodríguez-Molina, M. Martínez-Núñez, J.-F. Martínez, and W. Pérez-Aguiar, „„Business models in the smart grid: Challenges, opportunities and proposals for prosumer profitability,’’ Energies, vol. 7, no. 9, pp. 6142–6171, 2014

Published

2023-07-25

How to Cite

P. SREELATHA, PATNAMSHETTY, P., & KADIYAM, S. S. (2023). SMART GRID USING MACHINE LEARNING. Journal of Science & Technology , 8(7), 120–123. https://doi.org/10.46243/jst.2023.v8.i06.pp120-123