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

Détails bibliographiques
Auteurs principaux: Ahmed, Nafiz, Hoque, Khandoker Samiul, Ahmad, Sabbir, Siddiki, Didar Alam
Autres auteurs: Rahman, Md. Mosaddequr
Format: Thèse
Langue:English
Publié: Brac University 2021
Sujets:
Accès en ligne:http://hdl.handle.net/10361/15139
id 10361-15139
record_format dspace
spelling 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
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