Balancing of Load in Smart Grid Environment Using Cloud Computing


  • D. Saravanan School of Computing Science and Engineering, VIT Bhopal University, Kotri Kalan, Bhopal, Madhya Pradesh, India.
  • S. Parvathi Vallabhaneni Assistant Professor, Department of Information Technology, Prasad V Potluri Siddhartha Institute of Technology, Affiliated to JNTU Kakinada, Vijayawada, Andhra Pradesh, India.
  • Faiz Akram Assistant Professor, Faculty of Computing and Informatics, Jimma Institute of Technology, Jimma University, Jimma, Oromia, Ethiopia.
  • P. M. Sithar Selvam Professor & Head of Mathematics, RVS School of Engineering & Technology, Dindigul, Tamil Nadu, India
  • T. Priya Professor of Mathematics, NPR College of Engineering & Technology, Natham, Dindigul, Tamil Nadu, India.
  • Sudhanshu Maurya Associate Professor, Department of Computer Science & Engineering, Eternal University, Baru Sahib, Himachal Pradesh, India.


GWO, Cloud computing, Load balancing, smart grid


Based on the time-of-use patterns of individual customer electricity consumption, this article proposes a method for regulating the load on a single feeder and a node or distribution transformer. The reality that different customers use different amounts of electricity at different times is accounted for by this method. The findings of a research project that made use of three different service agent strategies in addition to an algorithm for live VM migration are described in this article. The authors of this paper were responsible for carrying out the investigation. The GWO algorithm was put into place as a means of finding a middle ground between the variety of different network resources that were available at one time. Using VM Migration as an experimental setup, we present the findings of the GWO algorithm in this article. VMware is responsible for developing VM Migration. Cloud service providers have the possibility to implement the GWO energy efficiency enhancement system, which can save them both money and effort. This is a win-win situation for everyone involved.


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How to Cite

Saravanan, D. ., Vallabhaneni, S. P. ., Akram, F. ., Selvam, P. M. S. ., Priya, T. ., & Maurya, S. . (2023). Balancing of Load in Smart Grid Environment Using Cloud Computing. International Journal of Intelligent Systems and Applications in Engineering, 12(7s), 98–103. Retrieved from



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