Statistical estimation of rooftop solar PV system using satellite image: A Dhaka city perspective

bracu.type.groupResearch Publications
datacite.rightsMetadata Only
dc.contributor.authorMohammad Oni, Atib
dc.contributor.authorBelal Hossain Bhuian, Mohammed
dc.contributor.authorKibtiya, Mariya
dc.contributor.authorIslam, Mohaimenul
dc.contributor.departmentDepartment of Electrical and Electronic Engineering
dc.date.accessioned2026-09-14T07:56:11Z
dc.date.available2026-09-14T07:56:11Z
dc.date.issued2022-01-01
dc.description.abstractIn this study, rooftop solar PV arrays in Sector6, Uttara, Dhaka, Bangladesh, have been estimated and statistically analyzed using Google Earth satellite pictures. The condition of solar PV panels in 2030 is inferred using manual annotation and a regression model because high-resolution photos of the chosen area are not yet available. The outcome demonstrates that the rooftop panel area has grown throughout the course of the ten-year period between 2011 and 2021. Rooftops comprise about 29.6% of the sector's total area. However, solar PV has not yet been installed on 45% of rooftop space which can be utilized. In eight years, in 2030, the regression model projects that the area of solar panels will have doubled from that of 2021.
dc.description.versionPublished
dc.format.extent203-207
dc.identifier.citationA. Mohammad Oni, M. Belal Hossain Bhuian, M. Kibtiya and M. Islam, "Statistical Estimation of Rooftop Solar PV System Using Satellite Image: A Dhaka City Perspective," 2022 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE), Naya Raipur, India, 2022, pp. 203-207, doi: 10.1109/WIECON-ECE57977.2022.10150683.
dc.identifier.doi10.1109/WIECON-ECE57977.2022.10150683
dc.identifier.issn9798350311563
dc.identifier.other2-s2.0-85164256703
dc.identifier.urihttps://hdl.handle.net/10361/29911
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.hasversion10.1109/WIECON-ECE57977.2022.10150683
dc.relation.ispartofProceedings of 2022 IEEE International Women in Engineering Wie Conference on Electrical and Computer Engineering Wiecon Ece 2022
dc.relation.ispartofseriesProceedings of 2022 IEEE International Women in Engineering Wie Conference on Electrical and Computer Engineering Wiecon Ece 2022
dc.relation.urihttps://ieeexplore.ieee.org/document/10150683
dc.subjectAnnotations
dc.subjectGoogle earth
dc.subjectRegression
dc.subjectRooftop solar
dc.subjectSatellite images
dc.subject.lcshGoogle Earth.
dc.subject.lcshGeographic information systems.
dc.titleStatistical estimation of rooftop solar PV system using satellite image: A Dhaka city perspective
dc.typeConference Proceeding
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.identifier.scopus-author-id58927949500
person.identifier.scopus-author-id58478627600
person.identifier.scopus-author-id58478929600
person.identifier.scopus-author-id57207284164

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Demo.jpg
Size:
27.28 KB
Format:
Joint Photographic Experts Group/JPEG File Interchange Format (JFIF)

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: