Comparative Analysis of Prediction on Solar Radiation in Energy Generation System using Random Forest and Decision Tree-Reference-Cited by-同舟云学术

Comparative Analysis of Prediction on Solar Radiation in Energy Generation System using Random Forest and Decision Tree

Published:2022-04-07 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)
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Author:

P Sasirekha¹,T M Navinkumar²,Praveen A Anton Amala³,T Bharani Prakash⁴,P Swapna³,Vinothkumar M.⁵

Affiliation:

1. M.Kumarasamy College of Engineering,Karur,Tamilnadu,India

2. K.Ramakrishnan College of Engineering,Trichirappalli,Tamilnadu,India

3. K.Ramakrishnan College of Technology,Trichy,Tamilnadu,India

4. Sri Ramakrishna College of Technology,Coimbatore,Tamilnadu,India

5. MAM College of Engineeering and Technology,trichy,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9760735/9760712/09760819.pdf?arnumber=9760819

Reference12 articles.

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2. Review on Artificial Neural Network based solarradiation prediction;meenal;Proceedings of the 2nd International Conference on Communication and Electronics Systems (ICCES 2017)IEEE Xplore Compliant -Part Number CFP17AWO-ART,0

3. A Decision Tree Based Recommender System;gershman;InIICS,2010

4. Efficient recommendation system using decision tree classifier and collaborative filtering;jadhav;Int Res J Eng Technol,2016

5. Solar and terrestrial radiation. Report to the international commission for solar research on actinometric investigations of solar and atmospheric radiation

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