Envision of Solar Photovoltaic Module Parameters using AI Techniques
Author(s):
J. Vijaychandra, B. Sesha Sai, K. Veda Prakash, D. Narendra Kumar, K. Dinesh
Keywords:
Artificial neural networks, Solar pv module
Abstract
The necessity of power demand is raising in the present-day world and hence the entire world is turning towards alternating energy resources due to the fact that the conventional energy resources are going to be extinct in future. Nowadays a huge research is going on in every corner of the world to find out the best possible ways in order to meet the power demand at the end and the researchers strongly believe that Solar energy is one of the best renewable energy resources. There are various parameters to be taken into consideration while using solar PV modules in the real time applications. The AI techniques nowadays playing an important role in solving many complex problems. In this paper, Artificial neural network is used in order to predict the solar PV module parameters. The Simulation was performed using NNTOOL in MATLAB/SIMULINK software.
Article Details
Unique Paper ID: 152693

Publication Volume & Issue: Volume 8, Issue 4

Page(s): 198 - 202
Article Preview & Download


Share This Article

Conference Alert

NCSST-2021

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

Go To Issue



Call For Paper

Volume 10 Issue 1

Last Date for paper submitting for March Issue is 25 June 2023

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies