Smart Performance Evolution of a Solar Water Heating System with PCM by Using Deep Learning Approach-Reference-Cited by-同舟云学术

Smart Performance Evolution of a Solar Water Heating System with PCM by Using Deep Learning Approach

Published:2023-08-08 Issue:18 Volume:51 Page:2210-2219
ISSN:1532-5008
Container-title:Electric Power Components and Systems
language:en
Short-container-title:Electric Power Components and Systems

Author:

Tamizharasan Archana¹,Ramanath Kini M. G.²,Suresh Kumar B.³,Manjunath R.⁴,Shafi Shaik⁵,Taqui Syed Noeman⁶,Ganeshan P.⁷,Ouladsmane Mohamed⁸,Aftab Sikandar⁹

Affiliation:

1. Department of Computer Science and Engineering, VIT University, Vellore, Tamilnadu, India

2. Department of Electronics & Communication Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India

3. Department of Electrical and Electronics Engineering, Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana, India

4. Department of Computer Science and Engineering, R R Institute of Technology, Bengaluru, Karnataka, India

5. Department of Electronics and Communication Engineering, B V Raju Institute of Technology, Narsapur, Medak, Telangana, India

6. Department of VLSI Microelectronics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India

7. Department of Mechanical Engineering, Sri Eshwar Engineering College, Coimbatore, Tamilnadu, India

8. Department of Chemistry, College of Science, King Saud University, Riyadh, Saudi Arabia

9. Department of Intelligent Mechatronics Engineering, Sejong University, Seoul, South Korea

Funder

the Researchers Supporting

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Energy Engineering and Power Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/15325008.2023.2243458

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5. Evaluation of machine learning-based applications in forecasting the performance of single effect absorption chiller network