Enhancing Energy Efficiency and Classification Modeling Through a Combined Approach of LightGBM and Stratified KFold Cross-Validation-Reference-Cited by-同舟云学术

Enhancing Energy Efficiency and Classification Modeling Through a Combined Approach of LightGBM and Stratified KFold Cross-Validation

Published:2024-03-04 Issue: Volume: Page:1-19
ISSN:1532-5008
Container-title:Electric Power Components and Systems
language:en
Short-container-title:Electric Power Components and Systems

Author:

Kakkar Sushma¹,Jaya Lakshmi A.²,Durai C Anand Deva³,Ahmad Wakeel⁴⁵,Ayoobkhan Mohamed Uvaze Ahamed⁶,Veeramanikandan P.⁷,Nagasekhar Reddy P.⁸,Dwivedi Vijay Kumar⁹,Rajaram A.¹⁰

Affiliation:

1. Department of Electrical Electronics and Communication Engineering, Sharda School of Engineering and Technology, Sharda University, Greater Noida, India

2. Department of ECE, Vardhaman College of Engineering, Hyderabad, Telangana, India

3. College of Computer Science, King Khalid University, Abha, Saudi Arabia

4. College of Applied Industrial Technology (CAIT), Baish, Saudi Arabia

5. Electrical Engineering Technology Department, Jazan University, Jazan, Saudi Arabia

6. Department of Computer Science, New Uzbekistan University, Tashkent, Uzbekistan

7. Department of Electrical and Electronics Engineering, Jaya Engineering College, Chennai, Tamilnadu, India

8. Mahatma Gandhi Institute of Technology, Hyderabad, Telangana, India

9. Department of Mathematics, Vishwavidyalaya Engineering College, Ambikapur, Chhattisgarh, India

10. Department of Electronics and Communication Engineering, E.G.S. Pillay Engineering College, Nagapattinam, Tamilnadu, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15325008.2024.2315213

Reference36 articles.

1. Enhancement effects of ferric ion concentrations on growth and lipid characteristics of freshwater microalga Chlorococcum oleofaciens KF584224.1 for biodiesel production

2. Comprehensive multi-criteria evaluation of water source heat pump systems in terms of building type, water source, and water intake distance

3. Transfer learning for thermal comfort prediction in multiple cities

4. A decision-making process for wave energy converter and location pairing

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