Automated Extraction of Energy Systems Information from Remotely Sensed Data: A Review and Analysis

Ren, Simiao; Hu, Wayne; Bradbury, Kyle; Harrison-Atlas, Dylan; Malaguzzi Valeri, Laura; Murray, Brian; Malof, Jordan M.

doi:10.1016/j.apenergy.2022.119876

Title: Automated Extraction of Energy Systems Information from Remotely Sensed Data: A Review and Analysis

Journal Article · Fri Sep 01 00:00:00 UTC 2023 · Applied Energy

DOI: https://doi.org/10.1016/j.apenergy.2022.119876 · OSTI ID:1903025

Ren, Simiao ^[1]; Hu, Wayne ^[1]; Bradbury, Kyle ^[1]; Harrison-Atlas, Dylan ^[2]; Malaguzzi Valeri, Laura ^[3]; Murray, Brian ^[1]; Malof, Jordan M. ^[4]

Duke University, Durham, NC (United States)
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
World Resources Institute, Washington, D.C (United States)
University of Montana, Missoula, MT (United States)

We report high quality energy systems information is a crucial input to energy systems research, modeling, and decision-making. Unfortunately, actionable information about energy systems is often of limited availability, incomplete, or only accessible for a substantial fee or through a non-disclosure agreement. Recently, remotely sensed data (e.g., satellite imagery, aerial photography) have emerged as a potentially rich source of energy systems information. However, the use of these data is frequently challenged by its sheer volume and complexity, precluding manual analysis. Recent breakthroughs in machine learning have enabled automated and rapid extraction of useful information from remotely sensed data, facilitating large-scale acquisition of critical energy system variables. Here we present a systematic review of the literature on this emerging topic, providing an in-depth survey and review of papers published within the past two decades. We first taxonomize the existing literature into ten major areas, spanning the energy value chain. Within each research area, we distill and critically discuss major features that are relevant to energy researchers, including, for example, key challenges regarding the accessibility and reliability of the methods. We then synthesize our findings to identify limitations and trends in the literature as a whole, and discuss opportunities for innovation. These include the opportunity to extend the methods beyond electricity to broader energy systems and wider geographic areas; and the ability to expand the use of these methods in research and decision making as satellite data become cheaper and easier to access. We also find that there are persistent challenges: limited standardization and rigor of performance assessments; limited sharing of code, which would improve replicability; and a limited consideration of the ethics and privacy of data.

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Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE; national Science Foundation (NSF)

Grant/Contract Number:: AC36-08GO28308

OSTI ID:: 1903025

Report Number(s):: NREL/JA-6A20-77734; MainId:30649; UUID:167efa42-0395-4333-9a98-95f3542e3e16; MainAdminID:68203

Journal Information:: Applied Energy, Journal Name: Applied Energy Vol. 326; ISSN 0306-2619

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Development of Power Transmission Line Defects Diagnosis System for UAV Inspection based on Binocular Depth Imaging Technology Mao, Tianqi; Huang, Kai; Zeng, Xianwu 2019 2nd International Conference on Electrical Materials and Power Equipment (ICEMPE) https://doi.org/10.1109/ICEMPE.2019.8727361	conference	April 2019
Machine Learning Approach for Photovoltaic Panels Cleanliness Detection Hanafy, Walid A.; Pina, Alfredo; Salem, Sameh A. 2019 15th International Computer Engineering Conference (ICENCO) https://doi.org/10.1109/ICENCO48310.2019.9027402	conference	December 2019
Outdoor Insulator Surface Condition Evaluation using Image Classification Pernebayeva, D.; Sadykova, D.; James, A. P. 2018 IEEE International Conference on High Voltage Engineering and Application (ICHVE) https://doi.org/10.1109/ICHVE.2018.8642233	conference	September 2018
Rotation invariant power line insulator detection using local directional pattern and support vector machine Jabid, Taskeed; Uddin, Md. Zia 2016 International Conference on Innovations in Science, Engineering and Technology (ICISET) https://doi.org/10.1109/ICISET.2016.7856522	conference	October 2016
Transmission Line Image Defect Diagnosis Preprocessed Parallel Method Based on Deep Learning Tian, Bing; Li, Dong; Wang, Wei 2018 3rd International Conference on Mechanical, Control and Computer Engineering (ICMCCE) https://doi.org/10.1109/ICMCCE.2018.00068	conference	September 2018
Image processing and machine learning applied for condition monitoring of 11-kV power distribution line insulators using curvelet and LTP features Potnuru, Surya Prasad; Bhima, Prabhakara Rao 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI) https://doi.org/10.1109/ICPCSI.2017.8392278	conference	September 2017
A detailed literature review on wind forecasting Chandra, D. R.; Kumari, M. S.; Sydulu, M. 2013 International Conference on Power, Energy and Control (ICPEC) https://doi.org/10.1109/ICPEC.2013.6527734	conference	February 2013
Automatic solar photovoltaic panel detection in satellite imagery Malof, Jordan M.; Collins, Leslie M. 2015 International Conference on Renewable Energy Research and Applications (ICRERA) https://doi.org/10.1109/ICRERA.2015.7418643	conference	November 2015
A deep convolutional neural network and a random forest classifier for solar photovoltaic array detection in aerial imagery Malof, Jordan M.; Collins, Leslie M.; Bradbury, Kyle 2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA) https://doi.org/10.1109/ICRERA.2016.7884415	conference	November 2016
Image Acquisition of Power Line Transmission Towers Using UAV and Deep Learning Technique for Insulators Localization and Recognition Ohta, Hiroshi; Sato, Yuito; Mori, Takashi 2019 23rd International Conference on System Theory, Control and Computing (ICSTCC) https://doi.org/10.1109/ICSTCC.2019.8885695	conference	October 2019
Towards autonomous detection and tracking of electric towers for aerial power line inspection Martinez, Carol; Sampedro, Carlos; Chauhan, Aneesh 2014 International Conference on Unmanned Aircraft Systems (ICUAS) https://doi.org/10.1109/ICUAS.2014.6842267	conference	May 2014
Insulator identification from aerial images using Support Vector Machine with background suppression Wang, Xian; Zhang, Youmin 2016 International Conference on Unmanned Aircraft Systems (ICUAS) https://doi.org/10.1109/ICUAS.2016.7502544	conference	June 2016
Convolutional neural network based solar photovoltaic panel detection in satellite photos Golovko, Vladimir; Bezobrazov, Sergei; Kroshchanka, Alexander 2017 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) https://doi.org/10.1109/IDAACS.2017.8094501	conference	September 2017
A deep convolutional neural network, with pre-training, for solar photovoltaic array detection in aerial imagery Malof, Jordan M.; Collins, Leslie M.; Bradbury, Kyle 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) https://doi.org/10.1109/IGARSS.2017.8127092	conference	July 2017
Estimating the electricity generation capacity of solar photovoltaic arrays using only color aerial imagery So, Brenda; Nezin, Cory; Kaimal, Vishnu 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) https://doi.org/10.1109/IGARSS.2017.8127279	conference	July 2017
Can semantic labeling methods generalize to any city? the inria aerial image labeling benchmark Maggiori, Emmanuel; Tarabalka, Yuliya; Charpiat, Guillaume 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) https://doi.org/10.1109/IGARSS.2017.8127684	conference	July 2017
Automated Building Energy Consumption Estimation from Aerial Imagery Streltsov, Artem; Bradbury, Kyle; Malof, Jordan IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium https://doi.org/10.1109/IGARSS.2018.8517624	conference	July 2018
Combined Convolutional and Structured Features for Power Line Detection in UAV Images Zhang, Heng; Yang, Wen; Yu, Huai IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium https://doi.org/10.1109/IGARSS.2019.8898033	conference	July 2019
Automated Seasonal Detection of Coal Surface Mine Regions from Landsat 8 OLI Images Mukherjee, Jit; Mukhopadhyay, Jayanta; Chakravarty, Debashish IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium https://doi.org/10.1109/IGARSS.2019.8898789	conference	July 2019
Do Deep Learning Models Generalize to Overhead Imagery from Novel Geographic Domains? The xGD Benchmark Problem Huang, Bohao; Bradbury, Kyle; Collins, Leslie M. IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium https://doi.org/10.1109/IGARSS39084.2020.9323080	conference	September 2020
A supervised approach to electric tower detection and classification for power line inspection Sampedro, Carlos; Martinez, Carol; Chauhan, Aneesh 2014 International Joint Conference on Neural Networks (IJCNN) https://doi.org/10.1109/IJCNN.2014.6889836	conference	July 2014
Multi-patch deep features for power line insulator status classification from aerial images Zhao, Zhenbing; Xu, Guozhi; Qi, Yincheng 2016 International Joint Conference on Neural Networks (IJCNN) https://doi.org/10.1109/IJCNN.2016.7727606	conference	July 2016
Power infrastructure monitoring and damage detection using drone captured images Varghese, Ashley; Gubbi, Jayavardhana; Sharma, Hrishikesh 2017 International Joint Conference on Neural Networks (IJCNN) https://doi.org/10.1109/IJCNN.2017.7966053	conference	May 2017
Aerial image analysis based on improved adaptive clustering for photovoltaic module inspection Zhang, D.; Wu, F.; Li, X. 2017 International Smart Cities Conference (ISC2) https://doi.org/10.1109/ISC2.2017.8090798	conference	September 2017
A novel line position recognition method in transmission line patrolling with UAV using machine learning algorithms Wu, Yang; Luo, Yi; Zhao, Gen 2018 IEEE International Symposium on Electromagnetic Compatibility and 2018 IEEE Asia-Pacific Symposium on Electromagnetic Compatibility (EMC/APEMC) https://doi.org/10.1109/ISEMC.2018.8393827	conference	May 2018
Identification of Icing Thickness of Transmission Line Based on Strongly Generalized Convolutional Neural Network Lin, Gang; Wang, Bo; Yang, Zheng 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) https://doi.org/10.1109/ISGT-Asia.2018.8467958	conference	May 2018
Transmission line detection using deep convolutional neural network Dong, Jingjing; Chen, Wei; Xu, Chen 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference (ITAIC) https://doi.org/10.1109/ITAIC.2019.8785845	conference	May 2019
Knowledge-based power line detection for UAV surveillance and inspection systems Li, Zhengrong; Liu, Yuee; Hayward, Ross 2008 23rd International Conference Image and Vision Computing New Zealand https://doi.org/10.1109/IVCNZ.2008.4762118	conference	November 2008
Real-time Power Line Detection Network using Visible Light and Infrared Images Choi, Hyeyeon; Koo, Gyogwon; Kim, Bum Jun 2019 International Conference on Image and Vision Computing New Zealand (IVCNZ) https://doi.org/10.1109/IVCNZ48456.2019.8961002	conference	December 2019
Intelligent Monitoring and Inspection of Power Line Components Powered by UAVs and Deep Learning Nguyen, Van Nhan; Jenssen, Robert; Roverso, Davide IEEE Power and Energy Technology Systems Journal, Vol. 6, Issue 1 https://doi.org/10.1109/JPETS.2018.2881429	journal	March 2019
An Unmanned Inspection System for Multiple Defects Detection in Photovoltaic Plants Li, Xiaoxia; Li, Wei; Yang, Qiang IEEE Journal of Photovoltaics, Vol. 10, Issue 2 https://doi.org/10.1109/JPHOTOV.2019.2955183	journal	March 2020
Mapping of the Solar Irradiance in the UAE Using Advanced Artificial Neural Network Ensemble Alobaidi, Mohammad H.; Marpu, Prashanth R.; Ouarda, Taha B. M. J. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 7, Issue 8 https://doi.org/10.1109/JSTARS.2014.2331255	journal	August 2014
A Hierarchical Oil Tank Detector With Deep Surrounding Features for High-Resolution Optical Satellite Imagery Zhang, Lu; Shi, Zhenwei; Wu, Jun IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 8, Issue 10 https://doi.org/10.1109/JSTARS.2015.2467377	journal	October 2015
Learning-Based Emulation of Sea Surface Wind Fields From Numerical Model Outputs and SAR Data He, Liyun; Fablet, Ronan; Chapron, Bertrand IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 8, Issue 10 https://doi.org/10.1109/JSTARS.2015.2496503	journal	October 2015
Semantic Labeling of Aerial and Satellite Imagery Paisitkriangkrai, Sakrapee; Sherrah, Jamie; Janney, Pranam IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 9, Issue 7 https://doi.org/10.1109/JSTARS.2016.2582921	journal	July 2016
The CMOD7 Geophysical Model Function for ASCAT and ERS Wind Retrievals Stoffelen, Ad; Verspeek, Jeroen Adriaan; Vogelzang, Jur IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 10, Issue 5 https://doi.org/10.1109/JSTARS.2017.2681806	journal	May 2017
Research Progress on Few-Shot Learning for Remote Sensing Image Interpretation Sun, Xian; Wang, Bing; Wang, Zhirui IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 14 https://doi.org/10.1109/JSTARS.2021.3052869	journal	January 2021
Pole and Crossarm Identification in Distribution Power Line Images Castellucci, Pedro B.; Lucca, Luiz C.; SantAnna, Marcelo 2013 Latin American Robotics Symposium and Competition https://doi.org/10.1109/LARS.2013.48	conference	October 2013
Domain Adaptation for the Classification of Remote Sensing Data: An Overview of Recent Advances Tuia, Devis; Persello, Claudio; Bruzzone, Lorenzo IEEE Geoscience and Remote Sensing Magazine, Vol. 4, Issue 2 https://doi.org/10.1109/MGRS.2016.2548504	journal	June 2016
Data Fusion and Remote Sensing: An ever-growing relationship Schmitt, Michael; Zhu, Xiao Xiang IEEE Geoscience and Remote Sensing Magazine, Vol. 4, Issue 4 https://doi.org/10.1109/MGRS.2016.2561021	journal	December 2016
Ethics and Privacy in AI and Big Data: Implementing Responsible Research and Innovation Stahl, Bernd Carsten; Wright, David IEEE Security & Privacy, Vol. 16, Issue 3 https://doi.org/10.1109/MSP.2018.2701164	journal	May 2018
A review of wind power forecasting & prediction Mao, Yang; Shaoshuai, Wang 2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) https://doi.org/10.1109/PMAPS.2016.7764085	conference	October 2016
Research on Image Recognition of Insulators Based on YOLO Algorithm Wang, Shenghui; Niu, Leilei; Li, Nan 2018 International Conference on Power System Technology (POWERCON) https://doi.org/10.1109/POWERCON.2018.8602149	conference	November 2018
Transfer Learning based Photovoltaic Module Defect Diagnosis using Aerial Images Ding, Shihao; Yang, Qiang; Li, Xiaoxia 2018 International Conference on Power System Technology (POWERCON) https://doi.org/10.1109/POWERCON.2018.8602188	conference	November 2018
Detection for power transmission line in low-resolution aerial image Yang, Guodong; Zhao, Dezheng; Chang, Wenkai 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO) https://doi.org/10.1109/ROBIO.2017.8324614	conference	December 2017
DeepSolar for Germany: A deep learning framework for PV system mapping from aerial imagery Mayer, Kevin; Wang, Zhecheng; Arlt, Marie-Louise 2020 International Conference on Smart Energy Systems and Technologies (SEST) https://doi.org/10.1109/SEST48500.2020.9203258	conference	September 2020
The Deep Learning Based Power Line Defect Detection System Built on Data Collected by the Cablewalker Drone Titov, Evgenii; Limanovskaya, Oksana; Lemekh, Alexandr 2019 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON) https://doi.org/10.1109/SIBIRCON48586.2019.8958397	conference	October 2019
Weakly supervised learning with convolutional neural networks for power line localization Lee, Sang Jun; Yun, Jong Pil; Choi, Hyeyeon 2017 IEEE Symposium Series on Computational Intelligence (SSCI) https://doi.org/10.1109/SSCI.2017.8285410	conference	November 2017
Landsat and MODIS satellite image processing for solar irradiance estimation in the department of Narino-Colombia Cabrera, Omar; Champutiz, Bayron; Calderon, Andres 2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA) https://doi.org/10.1109/STSIVA.2016.7743306	conference	August 2016
Power Line Recognition From Aerial Images With Deep Learning Yetgin, Omer Emre; Benligiray, Burak; Gerek, Omer Nezih IEEE Transactions on Aerospace and Electronic Systems, Vol. 55, Issue 5 https://doi.org/10.1109/TAES.2018.2883879	journal	October 2019
Deep Learning Based Module Defect Analysis for Large-Scale Photovoltaic Farms Li, Xiaoxia; Yang, Qiang; Lou, Zhuo IEEE Transactions on Energy Conversion, Vol. 34, Issue 1 https://doi.org/10.1109/TEC.2018.2873358	journal	March 2019
Coal Quality Exploration Technology Based on an Incremental Multilayer Extreme Learning Machine and Remote Sensing Images Le, Ba Tuan; Xiao, Dong; Mao, Yachun IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, Issue 7 https://doi.org/10.1109/TGRS.2018.2890040	journal	July 2019
Automatic Detection of Wind Turbine Blade Surface Cracks Based on UAV-Taken Images Wang, Long; Zhang, Zijun IEEE Transactions on Industrial Electronics, Vol. 64, Issue 9 https://doi.org/10.1109/TIE.2017.2682037	journal	September 2017
A Review of Domain Adaptation without Target Labels Kouw, Wouter M.; Loog, Marco IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 43, Issue 3 https://doi.org/10.1109/TPAMI.2019.2945942	journal	March 2021
IN-YOLO: Real-Time Detection of Outdoor High Voltage Insulators Using UAV Imaging Sadykova, Diana; Pernebayeva, Damira; Bagheri, Mehdi IEEE Transactions on Power Delivery, Vol. 35, Issue 3 https://doi.org/10.1109/TPWRD.2019.2944741	journal	June 2020
Detection of Power Line Insulator Defects Using Aerial Images Analyzed With Convolutional Neural Networks Tao, Xian; Zhang, Dapeng; Wang, Zihao IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 50, Issue 4 https://doi.org/10.1109/TSMC.2018.2871750	journal	April 2020
An Improved Photovoltaic Power Forecasting Model With the Assistance of Aerosol Index Data Liu, Jun; Fang, Wanliang; Zhang, Xudong IEEE Transactions on Sustainable Energy, Vol. 6, Issue 2 https://doi.org/10.1109/TSTE.2014.2381224	journal	April 2015
Solar Power Prediction Based on Satellite Images and Support Vector Machine Jang, Han Seung; Bae, Kuk Yeol; Park, Hong-Shik IEEE Transactions on Sustainable Energy, Vol. 7, Issue 3 https://doi.org/10.1109/TSTE.2016.2535466	journal	July 2016
The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation Kong, Fanjie; Huang, Bohao; Bradbury, Kyle 2020 IEEE Winter Conference on Applications of Computer Vision (WACV) https://doi.org/10.1109/WACV45572.2020.9093339	conference	March 2020
Vegetation management of utility corridors using high-resolution hyperspectral imaging and LiDAR Frank, Michael; Pan, Zhihong; Raber, Brian 2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing https://doi.org/10.1109/WHISPERS.2010.5594887	conference	June 2010
LBP-HF features and machine learning applied for automated monitoring of insulators for overhead power distribution lines Prasad, P. Surya; Rao, B. Prabhakara 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) https://doi.org/10.1109/WiSPNET.2016.7566245	conference	March 2016
Near Real-Time Automated Detection of Small Hazardous Liquid Pipeline Leaks Using Remote Optical Sensing and Machine Learning Araujo, Maria S.; Siebenaler, Shane P.; Dupont, Edmond M. Volume 3: Operations, Monitoring and Maintenance; Materials and Joining https://doi.org/10.1115/IPC2016-64218	conference	September 2016
Deep convolutional neural network processing of aerial stereo imagery to monitor vulnerable zones near power lines Qayyum, Abdul; Saad, Naufal M.; Kamel, Nidal Journal of Applied Remote Sensing, Vol. 12, Issue 01 https://doi.org/10.1117/1.JRS.12.014001	journal	February 2018
Oil tank detection based on salient region and geometric features Yao, Yuan; Jiang, Zhiguo; Zhang, Haopeng SPIE Proceedings https://doi.org/10.1117/12.2072839	conference	November 2014
Detection of oil wells based on faster R-CNN in optical satellite remote sensing images Song, Guangfu; Wang, Zhibao; Bai, Lu Image and Signal Processing for Remote Sensing XXVI https://doi.org/10.1117/12.2572996	conference	September 2020
The Energy-Poverty-Climate Nexus Casillas, C. E.; Kammen, D. M. Science, Vol. 330, Issue 6008 https://doi.org/10.1126/science.1197412	journal	November 2010
Artificial intelligence faces reproducibility crisis Hutson, Matthew Science, Vol. 359, Issue 6377 https://doi.org/10.1126/science.359.6377.725	journal	February 2018
ImageNet classification with deep convolutional neural networks Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E. Communications of the ACM, Vol. 60, Issue 6 https://doi.org/10.1145/3065386	journal	May 2017
Dam surface crack detection based on deep learning Li, Linjing; Zhang, Hua; Pang, Jie Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence - RICAI 2019 https://doi.org/10.1145/3366194.3366327	conference	January 2019
Machine Learning for Sustainable Energy Systems Donti, Priya L.; Kolter, J. Zico Annual Review of Environment and Resources, Vol. 46, Issue 1 https://doi.org/10.1146/annurev-environ-020220-061831	journal	October 2021
Global Data Assimilation and Forecast Experiments Using SSM/I Wind Speed Data Derived from a Neural Network Algorithm Yu, T-W.; Iredell, M.; Keyser, D. Weather and Forecasting, Vol. 12, Issue 4 https://doi.org/10.1175/1520-0434(1997)012<0859:GDAAFE>2.0.CO;2	journal	December 1997
A machine learning approach for mapping the very shallow theoretical geothermal potential Assouline, Dan; Mohajeri, Nahid; Gudmundsson, Agust Geothermal Energy, Vol. 7, Issue 1 https://doi.org/10.1186/s40517-019-0135-6	journal	July 2019
Unsupervised anomaly detection with compact deep features for wind turbine blade images taken by a drone Wang, Yinan; Yoshihashi, Ryota; Kawakami, Rei IPSJ Transactions on Computer Vision and Applications, Vol. 11, Issue 1 https://doi.org/10.1186/s41074-019-0056-0	journal	June 2019
Fast image recognition of transmission tower based on big data Hu, Zhuangli; He, Tong; Zeng, Yihui Protection and Control of Modern Power Systems, Vol. 3, Issue 1 https://doi.org/10.1186/s41601-018-0088-y	journal	May 2018
Learning for Tower Detection of Power Line Inspection Han, Bing; Wang, Xiaoyu DEStech Transactions on Computer Science and Engineering, Issue iccae https://doi.org/10.12783/dtcse/iccae2016/7194	journal	April 2017
Point-based Classification of Power Line Corridor Scene Using Random Forests Kim, Heungsik B.; Sohn, Gunho Photogrammetric Engineering & Remote Sensing, Vol. 79, Issue 9 https://doi.org/10.14358/PERS.79.9.821	journal	September 2013
Detecting Surface Defects of Wind Tubine Blades Using an Alexnet Deep Learning Algorithm Zhao, Xiao-Yi; Dong, Chao-Yi; Zhou, Peng IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E102.A, Issue 12 https://doi.org/10.1587/transfun.E102.A.1817	journal	December 2019
Enhancement of an Algorithm for Oil Tank Detection in Satellite Images Jivane, Niketan; Soundrapandiyan, Rajkumar International Journal of Intelligent Engineering and Systems, Vol. 10, Issue 3 https://doi.org/10.22266/ijies2017.0630.24	journal	June 2017
Wind turbine tower detection using feature descriptors and deep learning Abedini, Fereshteh; Bahaghighat, Mahdi; S’hoyan, Misak Facta universitatis - series: Electronics and Energetics, Vol. 33, Issue 1 https://doi.org/10.2298/FUEE2001133A	journal	January 2020
Feature fusion based insulator detection for aerial inspection Tiantian, Yan; Guodong, Yang; Junzhi, Yu 2017 36th Chinese Control Conference (CCC) https://doi.org/10.23919/ChiCC.2017.8029108	conference	July 2017
A new deep learning architecture for detection of long linear infrastructure Gubbi, Jayavardhana; Varghese, Ashley; Balamuralidhar, P. 2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA) https://doi.org/10.23919/MVA.2017.7986837	conference	May 2017
Image Segmentation Method of Insulator in Transmission Line Based on Weighted Variable Fuzzy C-Means Ke, Hongchang; Wang, Hui JOURNAL OF ENGINEERING SCIENCE AND TECHNOLOGY REVIEW, Vol. 10, Issue 4 https://doi.org/10.25103/jestr.104.16	journal	January 2017
A Method of Insulator Faults Detection in Aerial Images for High-Voltage Transmission Lines Inspection Han, Jiaming; Yang, Zhong; Zhang, Qiuyan Applied Sciences, Vol. 9, Issue 10 https://doi.org/10.3390/app9102009	journal	May 2019
OTL-Classifier: Towards Imaging Processing for Future Unmanned Overhead Transmission Line Maintenance Zhang, Fan; Fan, Yalei; Cai, Tao Electronics, Vol. 8, Issue 11 https://doi.org/10.3390/electronics8111270	journal	November 2019
A Short-Term Wind Speed Forecasting Model by Using Artificial Neural Networks with Stochastic Optimization for Renewable Energy Systems Huang, Chiou-Jye; Kuo, Ping-Huan Energies, Vol. 11, Issue 10 https://doi.org/10.3390/en11102777	journal	October 2018
Wind Turbine Surface Damage Detection by Deep Learning Aided Drone Inspection Analysis Shihavuddin, Asm; Chen, Xiao; Fedorov, Vladimir Energies, Vol. 12, Issue 4 https://doi.org/10.3390/en12040676	journal	February 2019
Deep Learning Neural Networks Trained with MODIS Satellite-Derived Predictors for Long-Term Global Solar Radiation Prediction Energies, Vol. 12, Issue 12 https://doi.org/10.3390/en12122407	journal	June 2019
Estimation and Mapping of Solar Irradiance for Korea by Using COMS MI Satellite Images and an Artificial Neural Network Model Koo, YoungHyun; Oh, Myeongchan; Kim, Sung-Min Energies, Vol. 13, Issue 2 https://doi.org/10.3390/en13020301	journal	January 2020
Spatially-Explicit Prediction of Capacity Density Advances Geographic Characterization of Wind Power Technical Potential Harrison-Atlas, Dylan; Maclaurin, Galen; Lantz, Eric Energies, Vol. 14, Issue 12 https://doi.org/10.3390/en14123609	journal	June 2021
Exploring Renewable Energy Resources Using Remote Sensing and GIS—A Review Resources, Vol. 8, Issue 3 https://doi.org/10.3390/resources8030149	journal	August 2019
Systematic Comparison of Power Line Classification Methods from ALS and MLS Point Cloud Data Wang, Yanjun; Chen, Qi; Liu, Lin Remote Sensing, Vol. 10, Issue 8 https://doi.org/10.3390/rs10081222	journal	August 2018
Deep Learning Based Fossil-Fuel Power Plant Monitoring in High Resolution Remote Sensing Images: A Comparative Study Zhang, Haopeng; Deng, Qin Remote Sensing, Vol. 11, Issue 9 https://doi.org/10.3390/rs11091117	journal	May 2019
Detecting Power Lines in UAV Images with Convolutional Features and Structured Constraints Zhang, Heng; Yang, Wen; Yu, Huai Remote Sensing, Vol. 11, Issue 11 https://doi.org/10.3390/rs11111342	journal	June 2019
Detection of Geothermal Potential Zones Using Remote Sensing Techniques Remote Sensing, Vol. 11, Issue 20 https://doi.org/10.3390/rs11202403	journal	October 2019
A Review of Progress and Applications of Pulsed Doppler Wind LiDARs Liu, Zhengliang; Barlow, Janet F.; Chan, Pak-Wai Remote Sensing, Vol. 11, Issue 21 https://doi.org/10.3390/rs11212522	journal	October 2019
LIDAR and SODAR Measurements of Wind Speed and Direction in Upland Terrain for Wind Energy Purposes Lang, Steven; McKeogh, Eamon Remote Sensing, Vol. 3, Issue 9 https://doi.org/10.3390/rs3091871	journal	August 2011
Tracking Electrification in Vietnam Using Nighttime Lights Min, Brian; Gaba, Kwawu Remote Sensing, Vol. 6, Issue 10 https://doi.org/10.3390/rs6109511	journal	October 2014
Using VIIRS Day/Night Band to Measure Electricity Supply Reliability: Preliminary Results from Maharashtra, India Mann, Michael; Melaas, Eli; Malik, Arun Remote Sensing, Vol. 8, Issue 9 https://doi.org/10.3390/rs8090711	journal	August 2016
Synergistic Use of Nighttime Satellite Data, Electric Utility Infrastructure, and Ambient Population to Improve Power Outage Detections in Urban Areas Cole, Tony; Wanik, David; Molthan, Andrew Remote Sensing, Vol. 9, Issue 3 https://doi.org/10.3390/rs9030286	journal	March 2017
Supervised Classification of Power Lines from Airborne LiDAR Data in Urban Areas Wang, Yanjun; Chen, Qi; Liu, Lin Remote Sensing, Vol. 9, Issue 8 https://doi.org/10.3390/rs9080771	journal	July 2017
Spatial Assessment of Solar Radiation by Machine Learning and Deep Neural Network Models Using Data Provided by the COMS MI Geostationary Satellite: A Case Study in South Korea Yeom, Jong-Min; Park, Seonyoung; Chae, Taebyeong Sensors, Vol. 19, Issue 9 https://doi.org/10.3390/s19092082	journal	May 2019
Fault Detection in Power Equipment via an Unmanned Aerial System Using Multi Modal Data Jalil, Bushra; Leone, Giuseppe Riccardo; Martinelli, Massimo Sensors, Vol. 19, Issue 13 https://doi.org/10.3390/s19133014	journal	July 2019
Automatic Pixel-Level Crack Detection on Dam Surface Using Deep Convolutional Network Feng, Chuncheng; Zhang, Hua; Wang, Haoran Sensors, Vol. 20, Issue 7 https://doi.org/10.3390/s20072069	journal	April 2020
Deep Convolutional Neural Network for Automatic Detection of Damaged Photovoltaic Cells Pierdicca, R.; Malinverni, E. S.; Piccinini, F. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XLII-2 https://doi.org/10.5194/isprs-archives-XLII-2-893-2018	journal	May 2018
New methods to improve the vertical extrapolation of near-surface offshore wind speeds Optis, Mike; Bodini, Nicola; Debnath, Mithu Wind Energy Science, Vol. 6, Issue 3 https://doi.org/10.5194/wes-6-935-2021	journal	January 2021
Solar Power Plant Detection on Multi-Spectral Satellite Imagery using Weakly-Supervised CNN with Feedback Features and m-PCNN Fusion Imamoglu, Nevrez; Kimura, Motoki; Miyamoto, Hiroki Procedings of the British Machine Vision Conference 2017 https://doi.org/10.5244/C.31.183	conference	January 2017
scikit-image: image processing in Python van der Walt, Stéfan; Schönberger, Johannes L.; Nunez-Iglesias, Juan PeerJ, Vol. 2 https://doi.org/10.7717/peerj.453	journal	January 2014

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Journal Article · Fri Feb 02 04:00:00 UTC 2007 · AIP Conference Proceedings · OSTI ID:21054765

Brendebach, Boris; Denecke, Melissa A; Rothe, Joerg; +2 more

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97 MATHEMATICS AND COMPUTING
aerial
artificial intelligence
data extraction
drone
energy data
machine learning
remote sensing
review
satellite

Title: Automated Extraction of Energy Systems Information from Remotely Sensed Data: A Review and Analysis

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