Prediction of Solar Power Irradiance using Machine learning and Deep Learning for Smart grid integration-Reference-Cited by-同舟云学术

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Prediction of Solar Power Irradiance using Machine learning and Deep Learning for Smart grid integration

Published:2024-04-17 Issue: Volume:6 Page:1-6
ISSN:
Container-title:2024 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI)
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Author:

Magesh T¹,Thangavelu Raja²,Nivasini M.³,Abishek R.¹,Yeshwanth K.¹,Gladwin Felix¹

Affiliation:

1. Engineering College Kavaraipettai,Department of EEE R.M.K,TamilNadu,India

2. College of Engineering and Technology, University of Technology and Applied Sciences,Engineering Department,shinas,Oman

3. College of. Engineering and Tech Kavaraipettai,Department of ECE R.M.K.,TamilNadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10547720/10547724/10547750.pdf?arnumber=10547750

Reference23 articles.

1. Solar - Fuels & Technologies,June 2020

2. 18 June 2020 Chinese Solar Perseveres During Pandemic;18 June 2020 solar-perseveresduring-pandemic/

3. Predicting solar generation from weather forecasts using machine learning

4. A comparative study of Forecasting Solar irradiation of Indore City Using Different Machine Learning techniques;Sarfuddin;International Journal of Software & Hardware Research in Engineering,2018

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