24.3.3.1 Solar Energy Analysis, Photovoltaic Analysis, Buildings, Roofs

Chapter Contents (Back)
Building Recognition. Rooftop. Photovoltaic Energy. Solar Energy. More the radiation analysis, not energy potential:
See also Solar Radiation, Solar Irradiance, Measurements.

Huang, Y.[Yan], Chen, Z.Q.[Zuo-Qi], Wu, B.[Bin], Chen, L.[Liang], Mao, W.Q.[Wei-Qing], Zhao, F.[Feng], Wu, J.P.[Jian-Ping], Wu, J.[Junhan], Yu, B.L.[Bai-Lang],
Estimating Roof Solar Energy Potential in the Downtown Area Using a GPU-Accelerated Solar Radiation Model and Airborne LiDAR Data,
RS(7), No. 12, 2015, pp. 15877.
DOI Link 1601
BibRef

López-Fernández, L.[Luis], Lagüela, S.[Susana], Picón, I.[Inmaculada], González-Aguilera, D.[Diego],
Large Scale Automatic Analysis and Classification of Roof Surfaces for the Installation of Solar Panels Using a Multi-Sensor Aerial Platform,
RS(7), No. 9, 2015, pp. 11226.
DOI Link 1511
BibRef
Earlier:
Automatic Analysis and Classification of the Roof Surfaces for the Installation of Solar Panels Using a Multi-Data Source and Multi-Sensor Aerial Platform,
3D-Arch15(171-178).
DOI Link 1504
BibRef

Schuffert, S.[Simon], Voegtle, T.[Thomas], Tate, N.[Nicholas], Ramirez, A.[Alberto],
Quality Assessment of Roof Planes Extracted from Height Data for Solar Energy Systems by the EAGLE Platform,
RS(7), No. 12, 2015, pp. 15866.
DOI Link 1601
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Le, T.B.[Tuan B.], Kholdi, D.[Danial], Xie, H.J.[Hong-Jie], Dong, B.[Bing], Vega, R.E.[Rolando E.],
LiDAR-Based Solar Mapping for Distributed Solar Plant Design and Grid Integration in San Antonio, Texas,
RS(8), No. 3, 2016, pp. 247.
DOI Link 1604
BibRef

López-Fernández, L.[Luis], Lagüela, S.[Susana], Fernández, J.[Jesús], González-Aguilera, D.[Diego],
Automatic Evaluation of Photovoltaic Power Stations from High-Density RGB-T 3D Point Clouds,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Soilán, M.[Mario], Riveiro, B.[Belén], Liñares, P.[Patricia], Padín-Beltrán, M.[Marta],
Automatic Parametrization and Shadow Analysis of Roofs in Urban Areas from ALS Point Clouds with Solar Energy Purposes,
IJGI(7), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Hanrieder, N.[Natalie], Ghennioui, A.[Abdellatif], Merrouni, A.A.[Ahmed Alami], Wilbert, S.[Stefan], Wiesinger, F.[Florian], Sengupta, M.[Manajit], Zarzalejo, L.[Luis], Schade, A.[Alexander],
Atmospheric Transmittance Model Validation for CSP Tower Plants,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Gašparovic, I.[Iva], Gašparovic, M.[Mateo],
Determining Optimal Solar Power Plant Locations Based on Remote Sensing and GIS Methods: A Case Study from Croatia,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Vo, A.V.[Anh Vu], Laefer, D.F.[Debra F.], Smolic, A.[Aljosa], Zolanvari, S.M.I.[S.M. Iman],
Per-point processing for detailed urban solar estimation with aerial laser scanning and distributed computing,
PandRS(155), 2019, pp. 119-135.
Elsevier DOI 1908
Solar potential, Laser scanning, Point cloud, Apache Spark, Big data, Distributed computing BibRef

Karoui, M.S.[Moussa Sofiane], Benhalouche, F.Z.[Fatima Zohra], Deville, Y.[Yannick], Djerriri, K.[Khelifa], Briottet, X.[Xavier], Houet, T.[Thomas], Le Bris, A.[Arnaud], Weber, C.[Christiane],
Partial Linear NMF-Based Unmixing Methods for Detection and Area Estimation of Photovoltaic Panels in Urban Hyperspectral Remote Sensing Data,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link 1909
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Prieto, I.[Iñaki], Izkara, J.L.[Jose Luis], Usobiaga, E.[Elena],
The Application of LiDAR Data for the Solar Potential Analysis Based on Urban 3D Model,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Principe, J.[Jeark], Takeuchi, W.[Wataru],
Supply and Demand Assessment of Solar PV as Off-Grid Option in Asia Pacific Region with Remotely Sensed Data,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Wang, M.[Min], Cui, Q.[Qi], Sun, Y.J.[Yu-Jie], Wang, Q.[Qiao],
Photovoltaic panel extraction from very high-resolution aerial imagery using region-line primitive association analysis and template matching,
PandRS(141), 2018, pp. 100-111.
Elsevier DOI 1806
Photovoltaic panel, Object-based image analysis, Region-line primitive association framework, High-resolution imagery BibRef

Xiong, G.J.[Guo-Jiang], Zhang, J.[Jing], Shi, D.Y.[Dong-Yuan], Zhu, L.[Lin], Yuan, X.[Xufeng], Yao, G.[Gang],
Modified Search Strategies Assisted Crossover Whale Optimization Algorithm with Selection Operator for Parameter Extraction of Solar Photovoltaic Models,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Masoom, A.[Akriti], Kosmopoulos, P.[Panagiotis], Bansal, A.[Ankit], Kazadzis, S.[Stelios],
Solar Energy Estimations in India Using Remote Sensing Technologies and Validation with Sun Photometers in Urban Areas,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link 2001
BibRef

Tiwari, A.[Arti], Meir, I.A.[Isaac A.], Karnieli, A.[Arnon],
Object-Based Image Procedures for Assessing the Solar Energy Photovoltaic Potential of Heterogeneous Rooftops Using Airborne LiDAR and Orthophoto,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link 2001
BibRef

Supe, H.[Hitesh], Avtar, R.[Ram], Singh, D.[Deepak], Gupta, A.[Ankita], Yunus, A.P.[Ali P.], Dou, J.[Jie], Ravankar, A.A.[Ankit A.], Mohan, G.[Geetha], Chapagain, S.K.[Saroj Kumar], Sharma, V.[Vivek], Singh, C.K.[Chander Kumar], Tutubalina, O.[Olga], Kharrazi, A.[Ali],
Google Earth Engine for the Detection of Soiling on Photovoltaic Solar Panels in Arid Environments,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Masoom, A.[Akriti], Kosmopoulos, P.[Panagiotis], Kashyap, Y.[Yashwant], Kumar, S.[Shashi], Bansal, A.[Ankit],
Rooftop Photovoltaic Energy Production Management in India Using Earth-Observation Data and Modeling Techniques,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Park, J.W.[Jin-Woong], Moon, J.[Jihoon], Jung, S.[Seungmin], Hwang, E.J.[Een-Jun],
Multistep-Ahead Solar Radiation Forecasting Scheme Based on the Light Gradient Boosting Machine: A Case Study of Jeju Island,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Kim, M.H.[Min-Ho], Song, H.[Hunsoo], Kim, Y.[Yongil],
Direct Short-Term Forecast of Photovoltaic Power through a Comparative Study between COMS and Himawari-8 Meteorological Satellite Images in a Deep Neural Network,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Zheng, Y.F.[Yuan-Fan], Weng, Q.H.[Qi-Hao],
Modeling the Effect of Green Roof Systems and Photovoltaic Panels for Building Energy Savings to Mitigate Climate Change,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Liang, J.M.[Jian-Ming], Gong, J.H.[Jian-Hua], Xie, X.P.[Xiu-Ping], Sun, J.[Jun],
Solar3D: An Open-Source Tool for Estimating Solar Radiation in Urban Environments,
IJGI(9), No. 9, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Sánchez-Aparicio, M.[María], del Pozo, S.[Susana], Martín-Jiménez, J.A.[Jose Antonio], González-González, E.[Enrique], Andrés-Anaya, P.[Paula], Lagüela, S.[Susana],
Influence of LiDAR Point Cloud Density in the Geometric Characterization of Rooftops for Solar Photovoltaic Studies in Cities,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
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Doicu, A.[Adrian], Efremenko, D.S.[Dmitry S.], Trautmann, T.[Thomas],
A Spectral Acceleration Approach for the Spherical Harmonics Discrete Ordinate Method,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
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Kim, B.[Bowoo], Suh, D.J.[Dong-Jun],
A Hybrid Spatio-Temporal Prediction Model for Solar Photovoltaic Generation Using Numerical Weather Data and Satellite Images,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Kim, B.[Bowoo], Suh, D.J.[Dong-Jun], Otto, M.O.[Marc-Oliver], Huh, J.S.[Jeung-Soo],
A Novel Hybrid Spatio-Temporal Forecasting of Multisite Solar Photovoltaic Generation,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Lehneis, R.[Reinhold], Manske, D.[David], Thrän, D.[Daniela],
Generation of Spatiotemporally Resolved Power Production Data of PV Systems in Germany,
IJGI(9), No. 11, 2020, pp. xx-yy.
DOI Link 2012
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Albraheem, L.[Lamya], Alabdulkarim, L.[Leena],
Geospatial Analysis of Solar Energy in Riyadh Using a GIS-AHP-Based Technique,
IJGI(10), No. 5, 2021, pp. xx-yy.
DOI Link 2106
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Fountoulakis, I.[Ilias], Kosmopoulos, P.[Panagiotis], Papachristopoulou, K.[Kyriakoula], Raptis, I.P.[Ioannis-Panagiotis], Mamouri, R.E.[Rodanthi-Elisavet], Nisantzi, A.[Argyro], Gkikas, A.[Antonis], Witthuhn, J.[Jonas], Bley, S.[Sebastian], Moustaka, A.[Anna], Buehl, J.[Johannes], Seifert, P.[Patric], Hadjimitsis, D.G.[Diofantos G.], Kontoes, C.[Charalampos], Kazadzis, S.[Stelios],
Effects of Aerosols and Clouds on the Levels of Surface Solar Radiation and Solar Energy in Cyprus,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
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Mikovits, C.[Christian], Schauppenlehner, T.[Thomas], Scherhaufer, P.[Patrick], Schmidt, J.[Johannes], Schmalzl, L.[Lilia], Dworzak, V.[Veronika], Hampl, N.[Nina], Sposato, R.G.[Robert Gennaro],
A Spatially Highly Resolved Ground Mounted and Rooftop Potential Analysis for Photovoltaics in Austria,
IJGI(10), No. 6, 2021, pp. xx-yy.
DOI Link 2106
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Zhang, Y.S.[Yun-Sheng], Dai, Z.S.[Zhi-Sheng], Wang, W.X.[Wei-Xi], Li, X.M.[Xiao-Ming], Chen, S.Y.[Si-Yang], Chen, L.[Li],
Estimation of the Potential Achievable Solar Energy of the Buildings Using Photogrammetric Mesh Models,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Hwang, Y.S.[Young-Seok], Schlüter, S.[Stephan], Park, S.I.[Seong-Il], Um, J.S.[Jung-Sup],
Comparative Evaluation of Mapping Accuracy between UAV Video versus Photo Mosaic for the Scattered Urban Photovoltaic Panel,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Dumka, U.C.[Umesh Chandra], Kosmopoulos, P.G.[Panagiotis G.], Ningombam, S.S.[Shantikumar S.], Masoom, A.[Akriti],
Impact of Aerosol and Cloud on the Solar Energy Potential over the Central Gangetic Himalayan Region,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
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Kim, C.K.[Chang Ki], Kim, H.G.[Hyun-Goo], Kang, Y.H.[Yong-Heack], Yun, C.Y.[Chang-Yeol], Kim, B.[Boyoung], Kim, J.Y.[Jin Young],
Solar Resource Potentials and Annual Capacity Factor Based on the Korean Solar Irradiance Datasets Derived by the Satellite Imagery from 1996 to 2019,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109
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Acquaah, Y.T.[Yaa Takyiwaa], Gokaraju, B.[Balakrishna], Tesiero, R.C.[Raymond C.], Monty, G.H.[Gregory H.],
Thermal Imagery Feature Extraction Techniques and the Effects on Machine Learning Models for Smart HVAC Efficiency in Building Energy,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110
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Zhang, X.[Xunhe], Zeraatpisheh, M.[Mojtaba], Rahman, M.M.[Md Mizanur], Wang, S.J.[Shu-Jian], Xu, M.[Ming],
Texture Is Important in Improving the Accuracy of Mapping Photovoltaic Power Plants: A Case Study of Ningxia Autonomous Region, China,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Hwang, Y.S.[Young-Seok], Schlüter, S.[Stephan], Lee, J.J.[Jung-Joo], Um, J.S.[Jung-Sup],
Evaluating the Correlation between Thermal Signatures of UAV Video Stream versus Photomosaic for Urban Rooftop Solar Panels,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
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Lu, X.[Xiu], Li, G.N.[Guan-Nan], Wang, A.D.[An-Dong], Xiong, Q.Q.[Qing-Qin], Lin, B.X.[Bing-Xian], Lv, G.N.[Guo-Nian],
Estimating the Photovoltaic Potential of Building Facades and Roofs Using the Industry Foundation Classes,
IJGI(10), No. 12, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Dumka, U.C.[Umesh Chandra], Kosmopoulos, P.G.[Panagiotis G.], Patel, P.N.[Piyushkumar N.], Sheoran, R.[Rahul],
Can Forest Fires Be an Important Factor in the Reduction in Solar Power Production in India?,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Lehneis, R.[Reinhold], Manske, D.[David], Schinkel, B.[Björn], Thrän, D.[Daniela],
Spatiotemporal Modeling of the Electricity Production from Variable Renewable Energies in Germany,
IJGI(11), No. 2, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Huang, X.X.[Xiao-Xun], Hayashi, K.[Kiichiro], Matsumoto, T.[Toshiki], Tao, L.W.[Lin-Wei], Huang, Y.[Yue], Tomino, Y.[Yuuki],
Estimation of Rooftop Solar Power Potential by Comparing Solar Radiation Data and Remote Sensing Data: A Case Study in Aichi, Japan,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
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Alonso-Montesinos, J.[Joaquín], Monterreal, R.[Rafael], Fernandez-Reche, J.[Jesus], Ballestrín, J.[Jesús], López, G.[Gabriel], Polo, J.[Jesús], Barbero, F.J.[Francisco Javier], Marzo, A.[Aitor], Portillo, C.[Carlos], Batlles, F.J.[Francisco Javier],
Nowcasting System Based on Sky Camera Images to Predict the Solar Flux on the Receiver of a Concentrated Solar Plant,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Ren, S.[Simiao], Malof, J.[Jordan], Fetter, R.[Rob], Beach, R.[Robert], Rineer, J.[Jay], Bradbury, K.[Kyle],
Utilizing Geospatial Data for Assessing Energy Security: Mapping Small Solar Home Systems Using Unmanned Aerial Vehicles and Deep Learning,
IJGI(11), No. 4, 2022, pp. xx-yy.
DOI Link 2205
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Zhang, S.Y.[Shu-Yan], Ma, Y.[Yong], Chen, F.[Fu], Shang, E.[Erping], Yao, W.[Wutao], Qiu, Y.[Yubao], Liu, J.B.[Jian-Bo],
Global Land High-Resolution Cloud Climatology Based on an Improved MOD09 Cloud Mask,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Zhang, S.Y.[Shu-Yan], Ma, Y.[Yong], Chen, F.[Fu], Shang, E.[Erping], Yao, W.[Wutao], Liu, J.B.[Jian-Bo], Long, A.[An],
Estimation of Photovoltaic Energy in China Based on Global Land High-Resolution Cloud Climatology,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Salinas-González, J.D.[Jared D.], García-Hernández, A.[Alejandra], Riveros-Rosas, D.[David], Moreno-Chávez, G.[Gamaliel], Zarzalejo, L.F.[Luis F.], Alonso-Montesinos, J.[Joaquín], Galván-Tejada, C.E.[Carlos E.], Mauricio-González, A.[Alejandro], González-Cabrera, A.E.[Adriana E.],
Multivariate Analysis for Solar Resource Assessment Using Unsupervised Learning on Images from the GOES-13 Satellite,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Krapf, S.[Sebastian], Bogenrieder, L.[Lukas], Netzler, F.[Fabian], Balke, G.[Georg], Lienkamp, M.[Markus],
RID: Roof Information Dataset for Computer Vision-Based Photovoltaic Potential Assessment,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Chen, Z.H.[Zheng-Hang], Kang, Y.W.[Ya-Wen], Sun, Z.X.[Zhong-Xiao], Wu, F.[Feng], Zhang, Q.[Qian],
Extraction of Photovoltaic Plants Using Machine Learning Methods: A Case Study of the Pilot Energy City of Golmud, China,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
Detecting them, not solar potential. BibRef

Sakti, A.D.[Anjar Dimara], Ihsan, K.T.N.[Kalingga Titon Nur], Anggraini, T.S.[Tania Septi], Shabrina, Z.[Zahratu], Sasongko, N.A.[Nugroho Adi], Fachrizal, R.[Reza], Aziz, M.[Muhammad], Aryal, J.[Jagannath], Yuliarto, B.[Brian], Hadi, P.O.[Pradita Octoviandiningrum], Wikantika, K.[Ketut],
Multi-Criteria Assessment for City-Wide Rooftop Solar PV Deployment: A Case Study of Bandung, Indonesia,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Lin, S.[Shaofu], Zhang, C.[Chang], Ding, L.[Lei], Zhang, J.[Jing], Liu, X.L.[Xi-Liang], Chen, G.[Guihong], Wang, S.H.[Shao-Hua], Chai, J.[Jinchuan],
Accurate Recognition of Building Rooftops and Assessment of Long-Term Carbon Emission Reduction from Rooftop Solar Photovoltaic Systems Fusing GF-2 and Multi-Source Data,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Sachit, M.S.[Mourtadha Sarhan], Shafri, H.Z.M.[Helmi Zulhaidi Mohd], Abdullah, A.F.[Ahmad Fikri], Rafie, A.S.M.[Azmin Shakrine Mohd], Gibril, M.B.A.[Mohamed Barakat A.],
Global Spatial Suitability Mapping of Wind and Solar Systems Using an Explainable AI-Based Approach,
IJGI(11), No. 8, 2022, pp. xx-yy.
DOI Link 2209
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Ge, F.[Fan], Wang, G.Z.[Gui-Zhou], He, G.J.[Guo-Jin], Zhou, D.J.[Deng-Ji], Yin, R.Y.[Ran-Yu], Tong, L.Z.[Lian-Zi],
A Hierarchical Information Extraction Method for Large-Scale Centralized Photovoltaic Power Plants Based on Multi-Source Remote Sensing Images,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
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Wang, S.[Su], Dai, T.[Tie], Li, C.[Cuina], Cheng, Y.M.[Yue-Ming], Huang, G.[Gang], Shi, G.Y.[Guang-Yu],
Improving Clear-Sky Solar Power Prediction over China by Assimilating Himawari-8 Aerosol Optical Depth with WRF-Chem-Solar,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Chen, D.Y.[De-Yue], Peng, L.[Ling], Zhang, W.Y.[Wen-Yue], Wang, Y.D.[Yin-Da], Yang, L.N.[Li-Na],
Research on Self-Supervised Building Information Extraction with High-Resolution Remote Sensing Images for Photovoltaic Potential Evaluation,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
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Muñoz-Salcedo, M.[Martín], Peci-López, F.[Fernando], Táboas, F.[Francisco],
An Empirical Correction Model for Remote Sensing Data of Global Horizontal Irradiance in High-Cloudiness-Index Locations,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
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Wang, J.Y.[Jin-Yue], Liu, J.[Jing], Li, L.[Longhui],
Detecting Photovoltaic Installations in Diverse Landscapes Using Open Multi-Source Remote Sensing Data,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Zhang, Y.J.[Yu-Jie], Qin, W.[Wenmin], Wang, L.[Lunche], Yang, C.[Chao], Su, X.[Xin], Wu, J.Y.[Jin-Yang],
Enhancement of Photovoltaic Power Potential in China from 2010 to 2020: The Contribution of Air Pollution Control Policies,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
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Jiang, Y.H.[Yu-Hui], Yi, B.Q.[Bing-Qi],
An Assessment of the Influences of Clouds on the Solar Photovoltaic Potential over China,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
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Kumar, A.[Anil], Kashyap, Y.[Yashwant], Kosmopoulos, P.[Panagiotis],
Enhancing Solar Energy Forecast Using Multi-Column Convolutional Neural Network and Multipoint Time Series Approach,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
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Ravishankar, R.[Rashmi], AlMahmoud, E.[Elaf], Habib, A.[Abdulelah], de Weck, O.L.[Olivier L.],
Capacity Estimation of Solar Farms Using Deep Learning on High-Resolution Satellite Imagery,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
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Polo, J.[Jesús], García, R.J.[Redlich J.],
Solar Potential Uncertainty in Building Rooftops as a Function of Digital Surface Model Accuracy,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
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Mitka, B.[Bartosz], Klapa, P.[Przemyslaw], Pióro, P.[Piotr],
Acquisition and Processing Data from UAVs in the Process of Generating 3D Models for Solar Potential Analysis,
RS(15), No. 6, 2023, pp. 1498.
DOI Link 2304
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Pruthviraj, U.[Umesh], Kashyap, Y.[Yashwant], Baxevanaki, E.[Effrosyni], Kosmopoulos, P.[Panagiotis],
Solar Photovoltaic Hotspot Inspection Using Unmanned Aerial Vehicle Thermal Images at a Solar Field in South India,
RS(15), No. 7, 2023, pp. 1914.
DOI Link 2304
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Zhao, S.T.[Shu-Ting], Xiang, Y.Z.[You-Zhen], Wu, L.F.[Li-Feng], Liu, X.Q.[Xiao-Qiang], Dong, J.H.[Jian-Hua], Zhang, F.[Fucang], Li, Z.J.[Zhi-Jun], Cui, Y.K.[Yao-Kui],
Simulation of Diffuse Solar Radiation with Tree-Based Evolutionary Hybrid Models and Satellite Data,
RS(15), No. 7, 2023, pp. 1885.
DOI Link 2304
optimizing solar energy systems. BibRef

Su, B.[Buyu], Du, X.P.[Xiao-Ping], Mu, H.[Haowei], Xu, C.[Chen], Li, X.C.[Xue-Cao], Chen, F.[Fang], Luo, X.N.[Xiao-Nan],
FEPVNet: A Network with Adaptive Strategies for Cross-Scale Mapping of Photovoltaic Panels from Multi-Source Images,
RS(15), No. 9, 2023, pp. xx-yy.
DOI Link 2305
BibRef

Khalyasmaa, A.I.[Alexandra I.], Eroshenko, S.A.[Stanislav A.], Tashchilin, V.A.[Valeriy A.], Ramachandran, H.[Hariprakash], Chakravarthi, T.P.[Teja Piepur], Butusov, D.N.[Denis N.],
Industry Experience of Developing Day-Ahead Photovoltaic Plant Forecasting System Based on Machine Learning,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Shimada, S.[Shoki], Takeuchi, W.[Wataru],
Revealing a Shift in Solar Photovoltaic Planning Sites in Vietnam from 2019 to 2022,
RS(15), No. 11, 2023, pp. 2756.
DOI Link 2306
BibRef

Kumar, A.[Anil], Kosmopoulos, P.[Panagiotis], Kashyap, Y.[Yashwant], Gautam, R.[Rupam],
Rooftop Photovoltaic Energy Production Estimations in India Using Remotely Sensed Data and Methods,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Ma, S.[Su], Liu, J.H.[Jun-Hui], Zhang, P.[Ping], Tu, X.Y.[Xing-Yue], Zhou, J.A.[Jian-An], Liu, Y.[Yang], Zheng, Y.J.[Ying-Juan],
Characterizing the Development of Photovoltaic Power Stations and Their Impacts on Vegetation Conditions from Landsat Time Series during 1990-2022,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Jörges, C.[Christoph], Vidal, H.S.[Hedwig Sophie], Hank, T.[Tobias], Bach, H.[Heike],
Detection of Solar Photovoltaic Power Plants Using Satellite and Airborne Hyperspectral Imaging,
RS(15), No. 13, 2023, pp. 3403.
DOI Link 2307
BibRef

Zhang, H.T.[Hai-Tao], Tian, P.[Peng], Zhong, J.[Jie], Liu, Y.C.[Yong-Chao], Li, J.L.[Jia-Lin],
Mapping Photovoltaic Panels in Coastal China Using Sentinel-1 and Sentinel-2 Images and Google Earth Engine,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308

See also Mapping Coastal Aquaculture Ponds of China Using Sentinel SAR Images in 2020 and Google Earth Engine. BibRef

Guo, X.C.[Xing-Chen], Lai, J.[Jing], Zheng, Z.[Zhou], Lin, C.X.[Chen-Xiang], Dai, Y.X.[Yu-Xing], Xu, X.X.[Xue-Xin], San, H.[Haisheng], Jia, R.[Rong], Zhang, Z.H.[Zhi-Hong],
Image feature learning combined with attention-based spectral representation for spatio-temporal photovoltaic power prediction,
IET-CV(17), No. 7, 2023, pp. 777-794.
DOI Link 2310
astronomical image processing, convolutional neural nets, frequency-domain analysis, image denoising, time series BibRef

Li, L.A.[Li-Ang], Lu, N.[Ning], Jiang, H.[Hou], Qin, J.[Jun],
Impact of Deep Convolutional Neural Network Structure on Photovoltaic Array Extraction from High Spatial Resolution Remote Sensing Images,
RS(15), No. 18, 2023, pp. 4554.
DOI Link 2310
BibRef

Wang, Y.[Yinda], Cai, D.[Danlu], Chen, L.J.[Luan-Jie], Yang, L.[Lina], Ge, X.T.[Xing-Tong], Peng, L.[Ling],
A Downscaling Methodology for Extracting Photovoltaic Plants with Remote Sensing Data: From Feature Optimized Random Forest to Improved HRNet,
RS(15), No. 20, 2023, pp. 4931.
DOI Link 2310
BibRef

Wang, J.X.[Jian-Xun], Chen, X.[Xin], Shi, W.Y.[Wei-Yue], Jiang, W.C.[Wei-Cheng], Zhang, X.[Xiaopu], Hua, L.[Li], Liu, J.[Junyi], Sui, H.G.[Hai-Gang],
Rooftop PV Segmenter: A Size-Aware Network for Segmenting Rooftop Photovoltaic Systems from High-Resolution Imagery,
RS(15), No. 21, 2023, pp. 5232.
DOI Link 2311
BibRef

Sánchez-Aparicio, M.[María], González-González, E.[Enrique], Martín-Jiménez, J.A.[Jose Antonio], Lagüela, S.[Susana],
Solar Potential Analysis of Bus Shelters in Urban Environments: A Study Case in Avila (Spain),
RS(15), No. 21, 2023, pp. 5189.
DOI Link 2311
BibRef

Jemmali, M.[Mahdi], Bashir, A.K.[Ali Kashif], Boulila, W.[Wadii], Melhim, L.K.B.[Loai Kayed B.], Jhaveri, R.H.[Rutvij H.], Ahmad, J.[Jawad],
An Efficient Optimization of Battery-Drone-Based Transportation Systems for Monitoring Solar Power Plant,
ITS(24), No. 12, December 2023, pp. 15633-15641.
IEEE DOI 2312
BibRef

Waqas, H.[Hassan], Jiang, Y.H.[Yu-Hong], Shang, J.[Jianga], Munir, I.[Iqra], Khan, F.U.[Fahad Ullah],
An Integrated Approach for 3D Solar Potential Assessment at the City Scale,
RS(15), No. 23, 2023, pp. 5616.
DOI Link 2312
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Kleebauer, M.[Maximilian], Marz, C.[Christopher], Reudenbach, C.[Christoph], Braun, M.[Martin],
Multi-Resolution Segmentation of Solar Photovoltaic Systems Using Deep Learning,
RS(15), No. 24, 2023, pp. 5687.
DOI Link 2401
BibRef

Tao, H.X.[Hao-Xiang], He, G.J.[Guo-Jin], Wang, G.Z.[Gui-Zhou], Yang, R.Q.[Rui-Qing], Peng, X.[Xueli], Yin, R.[Ranyu],
An Information Extraction Method for Industrial and Commercial Rooftop Photovoltaics Based on GaoFen-7 Remote Sensing Images,
RS(15), No. 24, 2023, pp. 5744.
DOI Link 2401
BibRef

Liu, W.Q.[Wen-Qing], Huo, H.T.[Hong-Tao], Ji, L.[Luyan], Zhao, Y.C.[Yong-Chao], Liu, X.W.[Xiao-Wen], Li, J.[Jing],
A Method for Extracting Photovoltaic Panels from High-Resolution Optical Remote Sensing Images Guided by Prior Knowledge,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
BibRef

Li, D.[Da], Li, L.[Lan], Cui, M.Y.[Ming-Yang], Shi, P.L.[Peng-Liang], Shi, Y.T.[Yin-Tong], Zhu, J.[Jian], Dai, S.[Sui], Song, M.P.[Mei-Ping],
Stain Detection Based on Unmanned Aerial Vehicle Hyperspectral Photovoltaic Module,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
BibRef

Zhang, J.[Jue], Jia, X.P.[Xiu-Ping], Zhou, J.[Jun], Zhang, J.P.[Jun-Peng], Hu, J.K.[Jian-Kun],
Weakly Supervised Solar Panel Mapping via Uncertainty Adjusted Label Transition in Aerial Images,
IP(33), 2024, pp. 881-896.
IEEE DOI 2402
BibRef
Earlier: A1, A2, A5, Only:
Pseudo Supervised Solar Panel Mapping based on Deep Convolutional Networks with Label Correction Strategy in Aerial Images,
DICTA20(1-8)
IEEE DOI 2201
Noise measurement, Uncertainty, Training, Solar panels, Predictive models, Estimation, Annotations, aerial images. Training, Renewable energy sources, Annotations, Supervised learning, Solar panels, Convolutional neural networks, convolutional neural network BibRef

Trincado, E.[Estrella], Vindel, J.M.[Jose María],
Suitability Index for the Placement of Solar Plants Based on Inequality Measurements and on Satellite Images,
RS(16), No. 6, 2024, pp. 1039.
DOI Link 2403
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Didi, Z.D.[Zai-Dan], El Azami, I.[Ikram],
Monitoring Photovoltaic Panels Using the ESP32 Microcontroller via low-power Bluetooth Communication,
ISCV22(1-6)
IEEE DOI 2208
Photovoltaic systems, Bluetooth, Voltage measurement, Microcontrollers, Current measurement, Measurement uncertainty, IoT. BibRef

Kranjcic, N., Bek, A., Ðurin, B., Singh, S.K., Kanga, S.,
Analysis of Solar Energy Potential By Remote Sensing Techniques In VaraŽdinska County, Croatia,
SmartCityApp21(343-347).
DOI Link 2201
BibRef

Apra, I., Bachert, C., Tocora, C.C.[C. Cáceres], Tufan, Ö., Veselý, O., Verbree, E.,
Inferring Roof Semantics for More Accurate Solar Potential Assessment,
GeoInfo21(33-37).
DOI Link 2201
BibRef

Julian, L.[Leron], Sankaranarayanan, A.C.[Aswin C.],
Precise Forecasting of Sky Images Using Spatial Warping,
PBDL21(1136-1144)
IEEE DOI 2112
Photovoltaic systems, Deep learning, Schedules, Image coding, Real-time systems BibRef

Amiranti, A.Y., Koeva, M.N., Kuffer, M., van Altena, V., Post, M.,
Investigating Standardized 3d Input Data for Solar Photovoltaic Potentials In the Netherlands,
ISPRS20(B4:639-646).
DOI Link 2012
BibRef

Oumekloul, Z., Achaoui, Y., Mir, A., Akjouj, A.,
Multi-layer WS2 and MOS2 Based Plasmonic Solar Cell for Smart Energy Harvesting,
SmartCityApp20(331-334).
DOI Link 2012
BibRef

Dotenco, S., Dalsass, M., Winkler, L., Wurzner, T., Brabec, C., Maier, A., Gallwitz, F.,
Automatic detection and analysis of photovoltaic modules in aerial infrared imagery,
WACV16(1-9)
IEEE DOI 1606
Cameras BibRef

Kanuk, J., Zubal, S., Šupinský, J., Šašak, J., Bombara, M., Sedlák, V., Gallay, M., Hofierka, J., Onacillová, K.,
Testing of V3.sun Module Prototype for Solar Radiation Modelling On 3d Objects With Complex Geometric Structure,
GeoInfo19(35-40).
DOI Link 1912
BibRef

Tunc, A., Tuncay, G., Alacakanat, Z., Sevimli, F.S.,
GIS Based Solar Power Plants Site Selection Using Analytic Hierarchy Process (AHP) in Istanbul, Turkey,
SmartGeoApps19(1353-1360).
DOI Link 1912
BibRef

Willenborg, B., Pültz, M., Kolbe, T.H.,
Integration of Semantic 3D City Models And 3D Mesh Models for Accuracy Improvements of Solar Potential Analyses,
GeoInfo18(223-230).
DOI Link 1901
BibRef

Mehta, S., Azad, A.P., Chemmengath, S.A., Raykar, V., Kalyanaraman, S.,
DeepSolarEye: Power Loss Prediction and Weakly Supervised Soiling Localization via Fully Convolutional Networks for Solar Panels,
WACV18(333-342)
IEEE DOI 1806
building integrated photovoltaics, convolution, feedforward neural nets, image classification, Visualization BibRef

Buyuksalih, G., Bayburt, S., Baskaraca, A.P., Karim, H., Abdul Rahman, A.,
Calculating Solar Energy Potential of Buildings And Visualization Within Unity 3D Game Engine,
GeoDisast17(39-44).
DOI Link 1805
BibRef

Adeleke, A.K., Smit, J.L.,
Intergration Of Lidar Data With Aerial Imagery For Estimating Rooftop Solar Photovoltaic Potentials In City Of Cape Town,
ISPRS16(B7: 617-624).
DOI Link 1610
BibRef

Aarsen, R., Janssen, M., Ramkisoen, M., Biljecki, F., Quak, W., Verbree, E.,
Installed Base Registration of Decentralised Solar Panels with Applications in Crisis Management,
Gi4DM15(219-223).
DOI Link 1602
BibRef

Nex, F., Remondino, F., Agugiaro, G., de Flippi, R., Poletti, M., Furlanello, C., Menegon, S., Dallago, G., Fontanari, S.,
3D Solarweb: A solar cadaster in the Italian Alpine landscape,
SSG13(173-178).
DOI Link 1402
BibRef

Agugiaro, G., Nex, F., Remondino, F., de Filippi, R., Droghetti, S., Furlanello, C.,
Solar Radiation Estimation On Building Roofs And Web-based Solar Cadastre,
AnnalsPRS(I-2), No. 2012, pp. 177-182.
DOI Link 1209
BibRef

Matsuoka, R., Nagusa, I., Yasuhara, H., Mori, M., Katayama, T., Yachi, N., Hasui, A., Katakuse, M., Atagi, T.,
Measurement of Large-scale Solar Power Plant by Using Images Acquired by Non-metric Digital Camera on Board UAV,
ISPRS12(XXXIX-B1:435-440).
DOI Link 1209
Deformation measurements. BibRef

Lv, Y.[Yang], Zhang, X.F.[Xian-Feng], Liu, Y.[Yu],
Solar energy potential mapping at a building scale,
CVRS12(383-386).
IEEE DOI 1302
analyze potential shadowing BibRef

Blakey, A.[Andrew], Feick, R.[Robert],
Exploring rooftop photovoltaic cell feasibility through web-GIS,
CGC10(319).
PDF File. 1006
BibRef

Jochem, A.[Andreas], Höfle, B.[Bernhard], Hollaus, M.[Markus], Rutzinger, M.[Martin],
Object detection in airborne LIDAR data for improved solar radiation modeling in urban areas,
Laser09(1). 0909
BibRef

Voegtle, T., Steinle, E., Tävári, D.,
Airborne laserscanning data for determination of suitable areas for photovoltaics,
Laser05(xx-yy).
PDF File. 0509
BibRef

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Energy Usage, Energy Efficiency, Buildings, Roofs .


Last update:Apr 10, 2024 at 09:54:40