Machine Learning based Energy Management Model for Smart Grid

Author:

Raja S.1,Gehlot Anita2,Chakravarthi M. Kalyan3,Pant Kumud4,Kuchhal Shikha5,Sattanathan Sivakumar6

Affiliation:

1. Rathinam College of Arts and Science,Department of Computer Science,Coimbatore,Tamil Nadu,India

2. Uttaranchal Institute of Technology Uttaranchal University,Dehradun,Uttarakhand,India

3. VIT - AP University,School of Electronics Engineering,Amaravati,Andhra Pradesh

4. Graphic Era Deemed to be University,Department of Biotechnology,Dehradun,Uttarakhand,India

5. SPITM, DCRUST Murthal,Department of ECE,Sonipat,Haryana,India

6. Hindustan Institute of Technology and Science Padur,Department of Mechatronics Engineering,Chennai,Tamil Nadu,India

Publisher

IEEE

Reference19 articles.

1. Performance Analysis of PI controlled DC-DC Zeta Converter for Grid connected PV System

2. Demand response algorithms for smart-grid ready residential buildings using machine learning models

3. Efficient soft-switching dc-dc converter for MPPT of a grid connected PV system

4. Multi-level (13) inverter for Grid connected PV system with PID controller;ambikapathy;Journal of Control Theory and Applications,2017

5. Optimal scheduling and operation of the ESS for prosumer market environment in grid-connected industrial complex;choiands;Proc IEEE Ind Appl Soc Annu Meeting,2017

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Integrated Energy Management and Load Forecasting Using Machine Learning;2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS);2024-07-10

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