Investigation of Solar Energy for Urban Areas and Metropolitan Communities Using Machine Learning-Reference-Cited by-同舟云学术

Investigation of Solar Energy for Urban Areas and Metropolitan Communities Using Machine Learning

Published:2023-12-27 Issue: Volume: Page:1-11
ISSN:1532-5008
Container-title:Electric Power Components and Systems
language:en
Short-container-title:Electric Power Components and Systems

Author:

Subbarao Ennamuri¹,Gite Pratik²,Sharma Ashish³,Vyakaranam Lasya⁴,Sardar Tanvir Habib⁵,Taqui Syed Noeman⁶,Ganeshan P.⁷,Metwally Ahmed Sayed M.⁸,Kalam M. A.⁹

Affiliation:

1. Department of Mechanical Engineering, MJR College of Engineering and Technology, Diguvapokulavari Palli, Pileru,India

2. Department of Computer Engineering, St. John College of Engineering and Management, Palghar (East), Mumbai, India

3. Department of Computer Engineering and Applications, GLA University, Mathura, India

4. Faculty of Law, Symbiosis Law School (SLS), Symbiosis International (Deemed University) (SIU), Pune, India

5. Department of Computer Science and Engineering, GITAM School of Technology, GITAM University, Bengaluru, India

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

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

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

9. School of Civil and Environmental Engineering, FEIT, University of Technology Sydney, Sydney, Australia

Funder

King Saud University

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/15325008.2023.2293948

Reference21 articles.

1. A review of the inter-correlation of climate change, air pollution and urban sustainability using novel machine learning algorithms and spatial information science

2. A review of the evaluation of urban wind resources: challenges and perspectives

3. An Investigation of Garbage Disposal Electric Vehicles (GDEVs) Integrated with Deep Neural Networking (DNN) and Intelligent Transportation System (ITS) in Smart City Management System (SCMS)

4. Inferential‐ and measurement‐based methods to estimate rooftop “solar city” potential in megacity Seoul, South Korea

5. Integrating weather observations and local-climate-zone-based landscape patterns for regional hourly air temperature mapping using machine learning