|
|||||
|
|
Artificial neural network-based output power prediction of grid-connected semitransparent photovoltaic system |
|
| Authors: | Kumar Pitchai Marish Saravanakumar Rengaraj Karthick Alagar Mohanavel Vinayagam |
| Affiliation: | 1.Department of Electrical and Electronics Engineering, Easwari Engineering College, Chennai, Tamilnadu, 600089, India ;2.Department of Wireless Communication, Institute of ECE, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, 602105, India ;3.Renewable Energy Lab, Department of Electrical and Electronics Engineering, KPR Institute of Engineering and Technology, Coimbatore, Tamilnadu, 641 407, India ;4.Centre for Materials Engineering and Regenerative Medicine, Bharath Institute of Higher Education and Research, Chennai, Tamilnadu, 600073, India ; |
| Abstract: | Environmental Science and Pollution Research - The solar photovoltaic system is an emerging renewable energy resource. The performance of the solar photovoltaic system is predicted based on the... |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ | |