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Building integrated photovoltaic (BIPV) facades represent a promising pathway towards urban decarbonization, especially where roof areas are insufficient and ground-mounted arrays are infeasible. Although machine learning-based approaches…

Computer Vision and Pattern Recognition · Computer Science 2025-11-25 Ayca Duran , Christoph Waibel , Bernd Bickel , Iro Armeni , Arno Schlueter

This research tackles the challenges of estimating Building-Integrated Photovoltaics (BIPV) potential across various temporal and spatial scales, accounting for different geographical climates and urban morphology. We introduce a holistic…

Information Retrieval · Computer Science 2024-12-03 Qing Yu , Kechuan Dong , Zhiling Guo , Jiaxing Li , Hongjun Tan , Yanxiu Jin , Jian Yuan , Haoran Zhang , Junwei Liu , Qi Chen , Jinyue Yan

Building Integrated Photovoltaics (BIPV) is a promising technology to decarbonize urban energy systems via harnessing solar energy available on building envelopes. While methods to assess solar irradiation, especially on rooftops, are well…

Machine Learning · Computer Science 2022-06-07 Yufei Zhang , Arno Schlüter , Christoph Waibel

Despite the growing emphasis on intelligent buildings as a cornerstone of sustainable urban development, significant energy inefficiencies persist due to suboptimal design, material choices, and user behavior. The applicability of…

Systems and Control · Electrical Eng. & Systems 2025-07-22 Yuhan Dai , Mingtong Chen , Zhengbao Yang

Building facades represent a significant untapped resource for solar energy generation in dense urban environments, yet assessing their photovoltaic (PV) potential remains challenging due to complex geometries and semantic com ponents. This…

Computer Vision and Pattern Recognition · Computer Science 2025-10-02 Ruyu Liu , Dongxu Zhuang , Jianhua Zhang , Arega Getaneh Abate , Per Sieverts Nielsen , Ben Wang , Xiufeng Liu

Project Sunroof estimates the solar potential of residential buildings using high quality aerial data. That is, it estimates the potential solar energy (and associated financial savings) that can be captured by buildings if solar panels…

Computer Vision and Pattern Recognition · Computer Science 2023-06-26 Ross Goroshin , Alex Wilson , Andrew Lamb , Betty Peng , Brandon Ewonus , Cornelius Ratsch , Jordan Raisher , Marisa Leung , Max Burq , Thomas Colthurst , William Rucklidge , Carl Elkin

Most of the research work in the solar potential analysis is performed utilizing aerial imagery, LiDAR data, and satellite imagery. However, in the existing studies using satellite data, parameters such as trees/ vegetation shadow, adjacent…

Computer Vision and Pattern Recognition · Computer Science 2024-11-08 Jai Singla

Estimating the amount of electricity that can be produced by rooftop photovoltaic systems is a time-consuming process that requires on-site measurements, a difficult task to achieve on a large scale. In this paper, we present an approach to…

Computer Vision and Pattern Recognition · Computer Science 2021-06-30 Daniel de Barros Soares , François Andrieux , Bastien Hell , Julien Lenhardt , Jordi Badosa , Sylvain Gavoille , Stéphane Gaiffas , Emmanuel Bacry

Photovoltaic (PV) energy is crucial for the decarbonization of energy systems. Due to the lack of centralized data, remote sensing of rooftop PV installations is the best option to monitor the evolution of the rooftop PV installed fleet at…

Computer Vision and Pattern Recognition · Computer Science 2023-11-10 Gabriel Kasmi , Laurent Dubus , Yves-Marie Saint-Drenan , Philippe Blanc

Solar photovoltaic (PV) farms represent a major source of global renewable energy generation, yet their true operational efficiency often remains unknown at scale. In this paper, we present a comprehensive, data-driven framework for…

Computer Vision and Pattern Recognition · Computer Science 2025-03-05 Isaac Corley , Conor Wallace , Sourav Agrawal , Burton Putrah , Jonathan Lwowski

Solar photovoltaic (PV) deployment is expanding rapidly, yet detailed, up-to-date information on the spatial distribution and capacity of rooftop PV remains limited. This paper presents an open, scalable framework for detecting solar panels…

Artificial Intelligence · Computer Science 2026-05-05 Shiliang Zhang , Sabita Maharjan , Damla Turgut

Designing waterfront redevelopment generally focuses on attractiveness, leisure, and beauty, resulting in various types of building and block shapes with limited considerations on environmental aspects. However, increasing climate change…

General Economics · Economics 2022-01-28 Younghun Choi , Takuro Kobashi , Yoshiki Yamagata , Akito Murayama

Photovoltaic (PV) energy grows rapidly and is crucial for the decarbonization of electric systems. However, centralized registries recording the technical characteristifs of rooftop PV systems are often missing, making it difficult to…

Computer Vision and Pattern Recognition · Computer Science 2025-04-16 Gabriel Kasmi , Laurent Dubus , Yves-Marie Saint Drenan , Philippe Blanc

With the costs of renewable energy technologies declining, new forms of urban energy systems are emerging that can be established in a cost-effective way. The SolarEV City concept has been proposed that uses rooftop Photovoltaics (PV) to…

General Economics · Economics 2021-11-16 Takuro Kobashi , Younghun Choi , Yujiro Hirano , Yoshiki Yamagata , Kelvin Say

Solar energy is one of the most important sources of renewable energy and the cleanest form of energy. In India, where solar energy could produce power around trillion kilowatt-hours in a year, our country is only able to produce power of…

Computer Vision and Pattern Recognition · Computer Science 2019-12-09 Akash Kumar

This paper presents SolarBoost, a novel approach for forecasting power output in distributed photovoltaic (DPV) systems. While existing centralized photovoltaic (CPV) methods are able to precisely model output dependencies due to…

Machine Learning · Computer Science 2025-10-27 Linyuan Geng , Linxiao Yang , Xinyue Gu , Liang Sun

Urban decarbonization is central to meeting global climate goals, yet progress toward integrated low-carbon energy systems remains slow. The SolarEV City Concept, linking rooftop photovoltaics with electric vehicles as mobile storage offers…

Understanding how buildings are distributed globally is crucial to revealing the human footprint on our home planet. This built environment affects local climate, land surface albedo, resource distribution, and many other key factors that…

Computer Vision and Pattern Recognition · Computer Science 2024-05-24 Xiao Xiang Zhu , Qingyu Li , Yilei Shi , Yuanyuan Wang , Adam Stewart , Jonathan Prexl

The rapid expansion of distributed rooftop photovoltaic (PV) systems introduces increasing uncertainty in distribution grid planning, hosting capacity assessment, and voltage regulation. Reliable estimation of rooftop PV deployment from…

Image and Video Processing · Electrical Eng. & Systems 2026-03-25 Muhao Guo , Lihao Mai , Erik Blasch , Jafarali Parol , Turki Rakan , Yang Weng

Estimating solar rooftop potential at a national level is a fundamental building block for every country to utilize solar power efficiently. Solar rooftop potential assessment relies on several features such as building geometry, location,…

Computer Vision and Pattern Recognition · Computer Science 2022-06-28 Hasan Nasrallah , Abed Ellatif Samhat , Yilei Shi , Xiaoxiang Zhu , Ghaleb Faour , Ali J. Ghandour
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