| Issue |
E3S Web Conf.
Volume 387, 2023
International Conference on Smart Engineering for Renewable Energy Technologies (ICSERET-2023)
|
|
|---|---|---|
| Article Number | 02005 | |
| Number of page(s) | 7 | |
| Section | Energy | |
| DOI | https://doi.org/10.1051/e3sconf/202338702005 | |
| Published online | 15 May 2023 | |
Smart Grid Management System Based on Machine Learning Algorithms for Efficient Energy Distribution
1 School of Computing, Mohan Babu Univesity (ERSTWhile Sree Vidyanikethan Engineering College-Autonomous), Tirupati, Andhra Pradesh, India
2 New Prince Shri Bhavani College Of Engineering and Technology, Approved by AICTE, Affiliated To Anna University, India
3 Assistant Professor, Prince Shri Venkateshwara Padmavathy Engineering College, Chennai - 127
4 Professor, Prince Dr. K. Vasudevan College of Engineering and Technology, Chennai - 127
* Corresponding author: sandeepkumarreddy.v@vidyanikethan.edu
This abstract describes the smart grid management system is an emerging technology that utilizes machine learning algorithms for efficient energy distribution. The paper presents an overview of the architecture, benefits, and challenges of smart grid management systems. The paper also discusses various machine learning algorithms used in smart grid management systems such as neural networks, decision trees, and Support Vector Machines (SVM). The advantages of using machine learning algorithms in smart grid management systems include increased energy efficiency, reduced energy wastage, improved reliability, and reduced costs. The challenges in implementing machine learning algorithms in smart grid management systems include data security, privacy, and scalability. The paper concludes by discussing future research directions in smart grid management systems based on machine learning algorithms.
Key words: Smart grid management system / Machine learning algorithms / Energy distribution / Grid monitoring
© The Authors, published by EDP Sciences, 2023
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