Comparative data analysis of a PV module system considering weather parameters
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2021
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2021
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10361-151392021-10-06T21:01:26Z Comparative data analysis of a PV module system considering weather parameters Ahmed, Nafiz Hoque, Khandoker Samiul Ahmad, Sabbir Siddiki, Didar Alam Rahman, Md. Mosaddequr Department of Electrical and Electronic Engineering, Brac University Photovoltaic (PV) Random forest Artificial Neural Network (ANN) Multiple Linear Regression model Short Circuit Current PV module Neural networks (Computer science) Short circuits This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2021 Cataloged from PDF version of thesis. Includes bibliographical references (pages 101-104). Fastest growing economy of Bangladesh increase the great demand of power generation using renewable energy sources. However, uncertainty in the output power of the photovoltaic (PV) power generation station due to variation in meteorological parameters is of serious concern. As a solution to this issue this work aims to predict the accurate power of a PV system. The performance results of this study are presented in terms of Random forest, Artificial Neural Network (ANN) and Multiple Linear Regression model. Additionally, the performance results obtained with Random forest, Artificial Neural Network (ANN) and Linear Regression are compared to show that which model has better prediction accuracy and less error. This paper aims to employ and perform a comparison study of PV systems considering weather parameter using different algorithms of above-mentioned data forecasting methods. The data which will be taken from the mentor of our thesis will be used in this paper. The present study will also be very helpful to provide technical guidance to the prediction of the PV power System. Nafiz Ahmed Khandoker Samiul Hoque Sabbir Ahmad Didar Alam Siddiki B. Electrical and Electronic Engineering 2021-10-06T03:11:01Z 2021-10-06T03:11:01Z 2021 2021-06 Thesis ID 16121123 ID 16321099 ID 17321022 ID 16321057 http://hdl.handle.net/10361/15139 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 104 pages application/pdf Brac University |
institution |
Brac University |
collection |
Institutional Repository |
language |
English |
topic |
Photovoltaic (PV) Random forest Artificial Neural Network (ANN) Multiple Linear Regression model Short Circuit Current PV module Neural networks (Computer science) Short circuits |
spellingShingle |
Photovoltaic (PV) Random forest Artificial Neural Network (ANN) Multiple Linear Regression model Short Circuit Current PV module Neural networks (Computer science) Short circuits Ahmed, Nafiz Hoque, Khandoker Samiul Ahmad, Sabbir Siddiki, Didar Alam Comparative data analysis of a PV module system considering weather parameters |
description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2021 |
author2 |
Rahman, Md. Mosaddequr |
author_facet |
Rahman, Md. Mosaddequr Ahmed, Nafiz Hoque, Khandoker Samiul Ahmad, Sabbir Siddiki, Didar Alam |
format |
Thesis |
author |
Ahmed, Nafiz Hoque, Khandoker Samiul Ahmad, Sabbir Siddiki, Didar Alam |
author_sort |
Ahmed, Nafiz |
title |
Comparative data analysis of a PV module system considering weather parameters |
title_short |
Comparative data analysis of a PV module system considering weather parameters |
title_full |
Comparative data analysis of a PV module system considering weather parameters |
title_fullStr |
Comparative data analysis of a PV module system considering weather parameters |
title_full_unstemmed |
Comparative data analysis of a PV module system considering weather parameters |
title_sort |
comparative data analysis of a pv module system considering weather parameters |
publisher |
Brac University |
publishDate |
2021 |
url |
http://hdl.handle.net/10361/15139 |
work_keys_str_mv |
AT ahmednafiz comparativedataanalysisofapvmodulesystemconsideringweatherparameters AT hoquekhandokersamiul comparativedataanalysisofapvmodulesystemconsideringweatherparameters AT ahmadsabbir comparativedataanalysisofapvmodulesystemconsideringweatherparameters AT siddikididaralam comparativedataanalysisofapvmodulesystemconsideringweatherparameters |
_version_ |
1814307643028668416 |