Smart Grid Management System Based on Machine Learning Algorithms for Efficient Energy Distribution
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 vari...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
|
| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/24/e3sconf_icseret2023_02005.pdf |
| _version_ | 1797808056708366336 |
|---|---|
| author | Reddy V. Sandeep Kumar T. Saravanan Velusudha N.T. Selwyn T. Sunder |
| author_facet | Reddy V. Sandeep Kumar T. Saravanan Velusudha N.T. Selwyn T. Sunder |
| author_sort | Reddy V. Sandeep Kumar |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-13T06:31:48Z |
| format | Article |
| id | doaj.art-52690cbf8ad0442ab1fdeed59e68bc0c |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-13T06:31:48Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-52690cbf8ad0442ab1fdeed59e68bc0c2023-06-09T09:06:53ZengEDP SciencesE3S Web of Conferences2267-12422023-01-013870200510.1051/e3sconf/202338702005e3sconf_icseret2023_02005Smart Grid Management System Based on Machine Learning Algorithms for Efficient Energy DistributionReddy V. Sandeep Kumar0T. Saravanan1Velusudha N.T.2Selwyn T. Sunder3School of Computing, Mohan Babu Univesity (ERSTWhile Sree Vidyanikethan Engineering College-Autonomous)New Prince Shri Bhavani College Of Engineering and Technology, Approved by AICTE, Affiliated To Anna UniversityAssistant Professor, Prince Shri Venkateshwara Padmavathy Engineering CollegeProfessor, Prince Dr. K. Vasudevan College of Engineering and TechnologyThis 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/24/e3sconf_icseret2023_02005.pdfsmart grid management systemmachine learning algorithmsenergy distributiongrid monitoring |
| spellingShingle | Reddy V. Sandeep Kumar T. Saravanan Velusudha N.T. Selwyn T. Sunder Smart Grid Management System Based on Machine Learning Algorithms for Efficient Energy Distribution E3S Web of Conferences smart grid management system machine learning algorithms energy distribution grid monitoring |
| title | Smart Grid Management System Based on Machine Learning Algorithms for Efficient Energy Distribution |
| title_full | Smart Grid Management System Based on Machine Learning Algorithms for Efficient Energy Distribution |
| title_fullStr | Smart Grid Management System Based on Machine Learning Algorithms for Efficient Energy Distribution |
| title_full_unstemmed | Smart Grid Management System Based on Machine Learning Algorithms for Efficient Energy Distribution |
| title_short | Smart Grid Management System Based on Machine Learning Algorithms for Efficient Energy Distribution |
| title_sort | smart grid management system based on machine learning algorithms for efficient energy distribution |
| topic | smart grid management system machine learning algorithms energy distribution grid monitoring |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/24/e3sconf_icseret2023_02005.pdf |
| work_keys_str_mv | AT reddyvsandeepkumar smartgridmanagementsystembasedonmachinelearningalgorithmsforefficientenergydistribution AT tsaravanan smartgridmanagementsystembasedonmachinelearningalgorithmsforefficientenergydistribution AT velusudhant smartgridmanagementsystembasedonmachinelearningalgorithmsforefficientenergydistribution AT selwyntsunder smartgridmanagementsystembasedonmachinelearningalgorithmsforefficientenergydistribution |