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With the effects of global climate change impacting the world, collective efforts are needed to reduce greenhouse gas emissions. The energy sector is the single largest contributor to climate change and many efforts are focused on reducing…

Computer Vision and Pattern Recognition · Computer Science 2022-01-07 Poonam Parhar , Ryan Sawasaki , Alberto Todeschini , Colorado Reed , Hossein Vahabi , Nathan Nusaputra , Felipe Vergara

Solar panels are installed by a large and growing number of households due to the convenience of having cheap and renewable energy to power house appliances. In contrast to other energy sources solar installations are distributed very…

Computer Vision and Pattern Recognition · Computer Science 2018-10-12 R. L. Curier , T. J. A. De Jong , Katharina Strauch , Katharina Cramer , Natalie Rosenski , Clara Schartner , M. Debusschere , Hannah Ziemons , Deniz Iren , Stefano Bromuri

As climate change intensifies, the global imperative to shift towards sustainable energy sources becomes more pronounced. Photovoltaic (PV) energy is a favored choice due to its reliability and ease of installation. Accurate mapping of PV…

Computer Vision and Pattern Recognition · Computer Science 2023-11-01 Adrian de Luis , Minh Tran , Taisei Hanyu , Anh Tran , Liao Haitao , Roy McCann , Alan Mantooth , Ying Huang , Ngan Le

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

The transition to renewable energy, particularly solar, is key to mitigating climate change. Google's Solar API aids this transition by estimating solar potential from aerial imagery, but its impact is constrained by geographical coverage.…

Computer Vision and Pattern Recognition · Computer Science 2024-08-30 Vishal Batchu , Alex Wilson , Betty Peng , Carl Elkin , Umangi Jain , Christopher Van Arsdale , Ross Goroshin , Varun Gulshan

Accurate parameterization of rooftop photovoltaic (PV) installations is critical for effective grid management and strategic large-scale solar deployment. The lack of high-fidelity datasets for PV configuration parameters often compels…

Systems and Control · Electrical Eng. & Systems 2025-05-27 Bowen Tian , Roel C. G. M. Loonen , Roland Valckenborg , Jan L. M. Hensen

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

The quantity of small scale solar photovoltaic (PV) arrays in the United States has grown rapidly in recent years. As a result, there is substantial interest in high quality information about the quantity, power capacity, and energy…

Computer Vision and Pattern Recognition · Computer Science 2016-10-03 Jordan M. Malof , Kyle Bradbury , Leslie M. Collins , Richard G. Newell

Maintaining the integrity of solar power plants is a vital component in dealing with the current climate crisis. This process begins with analysts creating a detailed map of a plant with the coordinates of every solar panel, making it…

Computer Vision and Pattern Recognition · Computer Science 2025-02-07 Conor Wallace , Isaac Corley , Jonathan Lwowski

An accurate and up-to-date model of a photovoltaic (PV) power plant is essential for its optimal operation and maintenance. However, such a model may not be easily available. This work introduces a novel approach for PV power plant mapping…

Computer Vision and Pattern Recognition · Computer Science 2025-12-23 Viktor Kozák , Jan Chudoba , Libor Přeučil

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

All over the world the peak demand load is increasing and the load factor is decreasing year-by-year. The fossil fuel is considered insufficient thus solar energy systems are becoming more and more useful, not only in terms of installation…

Other Computer Science · Computer Science 2011-11-08 Bimal Aklesh Kumar

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

Driven by advancements in photovoltaic (PV) technology, solar energy has emerged as a promising renewable energy source, due to its ease of integration onto building rooftops, facades, and windows. For the emerging cities, the lack of…

Computer Vision and Pattern Recognition · Computer Science 2024-07-02 Guohao Wang

Accurate detection and localization of solar photovoltaic (PV) panels in satellite imagery is essential for optimizing microgrids and active distribution networks (ADNs), which are critical components of renewable energy systems. Existing…

Machine Learning · Computer Science 2025-10-07 Muhao Guo , Yang Weng

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

Solar panels are increasingly deployed in cities on rooftops, walls, and urban infrastructure. Although the panel costs have fallen in recent years, the soft costs of installing them have not. These soft costs include assessing the…

Computer Vision and Pattern Recognition · Computer Science 2026-04-27 Jeremy Klotz , Shree K. Nayar

Sustainable roofs, such as those with greenery and photovoltaic panels, contribute to the roadmap for reducing the carbon footprint of cities. However, research on sustainable urban roofscapes is rather focused on their potential and it is…

Computers and Society · Computer Science 2021-06-25 Abraham Noah Wu , Filip Biljecki

Renewable energy systems are an increasingly popular way to generate electricity. As with any new technological paradigm, new challenges have emerged which are unique to the utilization of renewable energy systems. One of these challenges…

Computers and Society · Computer Science 2015-02-13 Nikolas Wolfe

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
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