Remote sensing of photovoltaic scenarios: Techniques, applications and future directions

Q Chen, X Li, Z Zhang, C Zhou, Z Guo, Z Liu, H Zhang - Applied Energy, 2023 - Elsevier
Developing solar photovoltaic (PV) systems is an effective way to address the problems of
limited fossil fuel reserves, soaring world energy demand and global climate change. The …

Multi-scale solar radiation and photovoltaic power forecasting with machine learning algorithms in urban environment: A state-of-the-art review

J Tian, R Ooka, D Lee - Journal of Cleaner Production, 2023 - Elsevier
Solar energy has been rapidly utilized in urban environments owing to its significant
potential to fulfill the energy demand. The precise forecasting of solar energy, including solar …

Estimating the spatial distribution of solar photovoltaic power generation potential on different types of rural rooftops using a deep learning network applied to satellite …

T Sun, M Shan, X Rong, X Yang - Applied Energy, 2022 - Elsevier
Rooftop photovoltaic (PV) power generation is an important form of solar energy
development, especially in rural areas where there is a large quantity of idle rural building …

Assessment of the solar energy potential of diverse urban built forms in Nagpur, India

A Kaleshwarwar, S Bahadure - Sustainable Cities and Society, 2023 - Elsevier
Power consumption in urban areas is enormous and expected to rise exponentially in the
coming years. Thermal power plants connected to the grid supply the majority of this …

Photovoltaics and energy storage integrated flexible direct current distribution systems of buildings: definition, technology review, and application

X Liu, X Liu, Y Jiang, T Zhang… - CSEE Journal of Power …, 2022 - ieeexplore.ieee.org
For a future carbon-neutral society, it is a great challenge to coordinate between the demand
and supply sides of a power grid with high penetration of renewable energy sources. In this …

3D-PV-Locator: Large-scale detection of rooftop-mounted photovoltaic systems in 3D

K Mayer, B Rausch, ML Arlt, G Gust, Z Wang… - Applied Energy, 2022 - Elsevier
While photovoltaic (PV) systems are being installed at an unprecedented rate, it is
challenging to keep track of them due to their decentralized character and large number. In …

Seed point set-based building roof extraction from airborne LiDAR point clouds using a top-down strategy

J Shao, W Zhang, A Shen, N Mellado, S Cai… - Automation in …, 2021 - Elsevier
Building roof extraction from airborne laser scanning point clouds is significant for building
modeling. The common method adopts a bottom-up strategy which requires a ground …

[HTML][HTML] Evaluating the standards for solar PV installations in the Iberian Peninsula: Analysis of tilt angles and determination of solar climate zones

E González-González, J Martín-Jiménez… - Sustainable Energy …, 2022 - Elsevier
One of the main factors for the determination of the energy yield of photovoltaic (PV) systems
is the incoming solar irradiation, which is a function of (i) the spatial configuration of the PV …

[HTML][HTML] A practical method for considering shading on photovoltaics systems energy yield

V Vega-Garita, V Alpizar-Gutierrez… - Energy Conversion and …, 2023 - Elsevier
Along with the widespread adoption of solar energy, it is fundamental to develop methods
and tools that help practitioners during the design phase of photovoltaic (PV) systems …

Automatic filtering of LiDAR building point cloud in case of trees associated to building roof

F Tarsha Kurdi, Z Gharineiat, G Campbell… - Remote sensing, 2022 - mdpi.com
This paper suggests a new algorithm for automatic building point cloud filtering based on the
Z coordinate histogram. This operation aims to select the roof class points from the building …