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

Machine Learning for Sustainable Energy Systems

(2021) Priya L. Donti et al.   Annual Review of Environment and Resources

Spatially-Explicit Prediction of Capacity Density Advances Geographic Characterization of Wind Power Technical Potential

(2021) Dylan Harrison-Atlas et al.   Energies

Estimation and Mapping of Solar Irradiance for Korea by Using COMS MI Satellite Images and an Artificial Neural Network Model

(2020) YoungHyun Koo et al.   Energies

Predictive mapping of the global power system using open data

(2020) C. Arderne et al.   Scientific Data

Automatic Pixel-Level Crack Detection on Dam Surface Using Deep Convolutional Network

(2020) Chuncheng Feng et al.   SENSORS

Modeling the spatial relation between urban morphology, land surface temperature and urban energy demand

(2020) Hung-Chu Chen et al.   Sustainable Cities and Society

Wind source potential assessment using Sentinel 1 satellite and a new forecasting model based on machine learning: A case study Sardinia islands

(2020) M. Majidi Nezhad et al.   RENEWABLE ENERGY

Estimating residential building energy consumption using overhead imagery

(2020) Artem Streltsov et al.   APPLIED ENERGY

Machine Learning Nowcasting of PV Energy Using Satellite Data

(2019) Alejandro Catalina et al.   NEURAL PROCESSING LETTERS

Wind Turbine Surface Damage Detection by Deep Learning Aided Drone Inspection Analysis

(2019) ASM Shihavuddin et al.   Energies

Universally deployable extreme learning machines integrated with remotely sensed MODIS satellite predictors over Australia to forecast global solar radiation: A new approach

(2019) Ravinesh C. Deo et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

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

(2019) Jong-Min Yeom et al.   SENSORS

Machine learning regressors for solar radiation estimation from satellite data

(2019) L. Cornejo-Bueno et al.   SOLAR ENERGY

Deep Learning Based Fossil-Fuel Power Plant Monitoring in High Resolution Remote Sensing Images: A Comparative Study

(2019) Haopeng Zhang et al.   Remote Sensing

A Method of Insulator Faults Detection in Aerial Images for High-Voltage Transmission Lines Inspection

(2019) Jiaming Han et al.   Applied Sciences-Basel

Modeling electricity consumption using nighttime light images and artificial neural networks

(2019) Tomasz Jasiński   ENERGY

Coal Quality Exploration Technology Based on an Incremental Multilayer Extreme Learning Machine and Remote Sensing Images

(2019) Ba Tuan Le et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Distribution Line Pole Detection and Counting Based on YOLO Using UAV Inspection Line Video

(2019) Binghuang Chen et al.   Journal of Electrical Engineering & Technology

Fault Detection in Power Equipment via an Unmanned Aerial System Using Multi Modal Data

(2019) Bushra Jalil et al.   SENSORS

Detecting Power Lines in UAV Images with Convolutional Features and Structured Constraints

(2019) Heng Zhang et al.   Remote Sensing

A high-resolution gridded dataset to assess electrification in sub-Saharan Africa

(2019) Giacomo Falchetta et al.   Scientific Data

A machine learning approach for mapping the very shallow theoretical geothermal potential

(2019) Dan Assouline et al.   Geothermal Energy

Urban solar utilization potential mapping via deep learning technology: A case study of Wuhan, China

(2019) Zhaojian Huang et al.   APPLIED ENERGY

Deep Learning Neural Networks Trained with MODIS Satellite-Derived Predictors for Long-Term Global Solar Radiation Prediction

(2019) Ghimire et al.   Energies

Wind turbine blade surface inspection based on deep learning and UAV-taken images

(2019) Donghua Xu et al.   Journal of Renewable and Sustainable Energy

Applications of Satellite Remote Sensing of Nighttime Light Observations: Advances, Challenges, and Perspectives

(2019) Zhao et al.   Remote Sensing

High voltage outdoor insulator surface condition evaluation using aerial insulator images

(2019) Damira Pernebayeva et al.   High Voltage

Can we justify producing univariate machine-learning forecasts with satellite-derived solar irradiance?

(2019) Gokhan Mert Yagli et al.   APPLIED ENERGY

Detecting Surface Defects of Wind Tubine Blades Using an Alexnet Deep Learning Algorithm

(2019) Xiao-Yi ZHAO et al.   IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES

A new approach for oil tank detection using deep learning features with control false alarm rate in high-resolution satellite imagery

(2019) Moein Zalpour et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Image classification towards transmission line fault detection via learning deep quality-aware fine-grained categorization

(2019) Yanhai Wang et al.   JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

A deep learning algorithm to estimate hourly global solar radiation from geostationary satellite data

(2019) Hou Jiang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Detection of Geothermal Potential Zones Using Remote Sensing Techniques

(2019) Lago González et al.   Remote Sensing

A Review of Progress and Applications of Pulsed Doppler Wind LiDARs

(2019) Zhengliang Liu et al.   Remote Sensing

OTL-Classifier: Towards Imaging Processing for Future Unmanned Overhead Transmission Line Maintenance

(2019) Fan Zhang et al.   Electronics

An assessment of global electric power consumption using the Defense Meteorological Satellite Program-Operational Linescan System nighttime light imagery

(2019) Linlin Lu et al.   ENERGY

Monitoring hydropower reliability in Malawi with satellite data and machine learning

(2019) Giacomo Falchetta et al.   Environmental Research Letters

Coal mine area monitoring method by machine learning and multispectral remote sensing images

(2019) Dakuo He et al.   INFRARED PHYSICS & TECHNOLOGY

Comparative analysis between VIIRS-DNB and DMSP-OLS night-time light data to estimate electric power consumption in Uttar Pradesh, India

(2019) Sumana Sahoo et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Estimation of shortwave solar radiation using the artificial neural network from Himawari-8 satellite imagery over China

(2019) Zhong Peng et al.   JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER

Remote sensing of night lights: A review and an outlook for the future

(2019) Noam Levin et al.   REMOTE SENSING OF ENVIRONMENT

An Unmanned Inspection System for Multiple Defects Detection in Photovoltaic Plants

(2019) Xiaoxia Li et al.   IEEE Journal of Photovoltaics

IN-YOLO: Real-Time Detection of Outdoor High Voltage Insulators Using UAV Imaging

(2019) Diana Sadykova et al.   IEEE TRANSACTIONS ON POWER DELIVERY

A Review of Domain Adaptation without Target Labels

(2019) Wouter M. Kouw et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Spatial distribution of building energy use in the United States through satellite imagery of the earth at night

(2018) Derek Fehrer et al.   BUILDING AND ENVIRONMENT

Solar photovoltaic generation forecasting methods: A review

(2018) Sobrina Sobri et al.   ENERGY CONVERSION AND MANAGEMENT

Just transition: Integrating climate, energy and environmental justice

(2018) Darren McCauley et al.   ENERGY POLICY

Ethics and Privacy in AI and Big Data: Implementing Responsible Research and Innovation

(2018) Bernd Carsten Stahl et al.   IEEE SECURITY & PRIVACY

Online 3-h forecasting of the power output from a BIPV system using satellite observations and ANN

(2018) S. Rosiek et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Satellite data for the social sciences: measuring rural electrification with night-time lights

(2018) Eugenie Dugoua et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Deep convolutional neural network processing of aerial stereo imagery to monitor vulnerable zones near power lines

(2018) Abdul Qayyum et al.   Journal of Applied Remote Sensing

Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis atmospheric products in solar-rich cities

(2018) Sujan Ghimire et al.   REMOTE SENSING OF ENVIRONMENT

A city-scale roof shape classification using machine learning for solar energy applications

(2018) Nahid Mohajeri et al.   RENEWABLE ENERGY

Artificial intelligence faces reproducibility crisis

(2018) Matthew Hutson   SCIENCE

Short-term forecasting of solar irradiance without local telemetry: A generalized model using satellite data

(2018) Jesus Lago et al.   SOLAR ENERGY

Systematic Comparison of Power Line Classification Methods from ALS and MLS Point Cloud Data

(2018) Yanjun Wang et al.   Remote Sensing

Coal Exploration Based on a Multilayer Extreme Learning Machine and Satellite Images

(2018) Ba Tuan Le et al.   IEEE Access

A Short-Term Wind Speed Forecasting Model by Using Artificial Neural Networks with Stochastic Optimization for Renewable Energy Systems

(2018) Chiou-Jye Huang et al.   Energies

Deep Learning Based Module Defect Analysis for Large-Scale Photovoltaic Farms

(2018) Xiaoxia Li et al.   IEEE TRANSACTIONS ON ENERGY CONVERSION

Power Line Recognition From Aerial Images With Deep Learning

(2018) Omer Emre Yetgin et al.   IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS

Detection of Power Line Insulator Defects Using Aerial Images Analyzed With Convolutional Neural Networks

(2018) Xian Tao et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Modeling of Electric Demand for Sustainable Energy and Management in India Using Spatio-Temporal DMSP-OLS Night-Time Data

(2017) Bismay Ranjan Tripathy et al.   ENVIRONMENTAL MANAGEMENT

Multiscale assessment of progress of electrification in Indonesia based on brightness level derived from nighttime satellite imagery

(2017) Fatwa Ramdani et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

The CMOD7 Geophysical Model Function for ASCAT and ERS Wind Retrievals

(2017) Ad Stoffelen et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Automatic Detection of Wind Turbine Blade Surface Cracks Based on UAV-Taken Images

(2017) Long Wang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

VIIRS night-time lights

(2017) Christopher D Elvidge et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Forecasting long-term global solar radiation with an ANN algorithm coupled with satellite-derived (MODIS) land surface temperature (LST) for regional locations in Queensland

(2017) Ravinesh C. Deo et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Quantifying rooftop photovoltaic solar energy potential: A machine learning approach

(2017) Dan Assouline et al.   SOLAR ENERGY

Coal exploration technology based on visible-infrared spectra and remote sensing data

(2017) Ba Tuan Le et al.   SPECTROSCOPY LETTERS

Synergistic Use of Nighttime Satellite Data, Electric Utility Infrastructure, and Ambient Population to Improve Power Outage Detections in Urban Areas

(2017) Tony Cole et al.   Remote Sensing

Supervised Classification of Power Lines from Airborne LiDAR Data in Urban Areas

(2017) Yanjun Wang et al.   Remote Sensing

Estimation of the building energy use intensity in the urban scale by integrating GIS and big data technology

(2016) Jun Ma et al.   APPLIED ENERGY

Automatic detection of solar photovoltaic arrays in high resolution aerial imagery

(2016) Jordan M. Malof et al.   APPLIED ENERGY

Detecting urban-scale dynamics of electricity consumption at Chinese cities using time-series DMSP-OLS (Defense Meteorological Satellite Program-Operational Linescan System) nighttime light imageries

(2016) Yanhua Xie et al.   ENERGY

Semantic Labeling of Aerial and Satellite Imagery

(2016) Sakrapee Paisitkriangkrai et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Statistical learning approach for wind resource assessment

(2016) F. Veronesi et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Combining solar irradiance measurements, satellite-derived data and a numerical weather prediction model to improve intra-day solar forecasting

(2016) L. Mazorra Aguiar et al.   RENEWABLE ENERGY

Using VIIRS Day/Night Band to Measure Electricity Supply Reliability: Preliminary Results from Maharashtra, India

(2016) Michael Mann et al.   Remote Sensing

Solar Power Prediction Based on Satellite Images and Support Vector Machine

(2016) Han Seung Jang et al.   IEEE Transactions on Sustainable Energy

Distributed solar photovoltaic array location and extent dataset for remote sensing object identification

(2016) Kyle Bradbury et al.   Scientific Data

Domain Adaptation for the Classification of Remote Sensing Data: An Overview of Recent Advances

(2016) Devis Tuia et al.   IEEE Geoscience and Remote Sensing Magazine

Data Fusion and Remote Sensing: An ever-growing relationship

(2016) Michael Schmitt et al.   IEEE Geoscience and Remote Sensing Magazine

Investigating the performance of support vector machine and artificial neural networks in predicting solar radiation on a tilted surface: Saudi Arabia case study

(2015) Makbul A.M. Ramli et al.   ENERGY CONVERSION AND MANAGEMENT

A Hierarchical Oil Tank Detector With Deep Surrounding Features for High-Resolution Optical Satellite Imagery

(2015) Lu Zhang et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Learning-Based Emulation of Sea Surface Wind Fields From Numerical Model Outputs and SAR Data

(2015) Liyun He et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Differentiating mine-reclaimed grasslands from spectrally similar land cover using terrain variables and object-based machine learning classification

(2015) Aaron E. Maxwell et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Deep learning

(2015) Yann LeCun et al.   NATURE

Use of satellite data to improve solar radiation forecasting with Bayesian Artificial Neural Networks

(2015) L. Mazorra Aguiar et al.   SOLAR ENERGY

An Improved Photovoltaic Power Forecasting Model With the Assistance of Aerosol Index Data

(2015) Jun Liu et al.   IEEE Transactions on Sustainable Energy

Artificial neural network based daily local forecasting for global solar radiation

(2014) Badia Amrouche et al.   APPLIED ENERGY

Satellite image analysis and a hybrid ESSS/ANN model to forecast solar irradiance in the tropics

(2014) Zibo Dong et al.   ENERGY CONVERSION AND MANAGEMENT

Mapping of the Solar Irradiance in the UAE Using Advanced Artificial Neural Network Ensemble

(2014) Mohammad H. Alobaidi et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Tracking Electrification in Vietnam Using Nighttime Lights

(2014) Brian Min et al.   Remote Sensing

scikit-image: image processing in Python

(2014) Stéfan van der Walt et al.   PeerJ

An artificial neural network ensemble model for estimating global solar radiation from Meteosat satellite images

(2013) Alvaro Linares-Rodriguez et al.   ENERGY

Application of extreme learning machine for estimating solar radiation from satellite data

(2013) Mehmet Şahin et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

Detection of rural electrification in Africa using DMSP-OLS night lights imagery

(2013) Brian Min et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Comparison of modelling ANN and ELM to estimate solar radiation over Turkey using NOAA satellite data

(2013) Mehmet Şahin   INTERNATIONAL JOURNAL OF REMOTE SENSING

Point-based Classification of Power Line Corridor Scene Using Random Forests

(2013) Heungsik B. Kim et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Determination of measuring sites for solar irradiance, based on cluster analysis of satellite-derived cloud estimations

(2013) A. Zagouras et al.   SOLAR ENERGY

A simple and efficient algorithm to estimate daily global solar radiation from geostationary satellite data

(2011) Ning Lu et al.   ENERGY

LIDAR and SODAR Measurements of Wind Speed and Direction in Upland Terrain for Wind Energy Purposes

(2011) Steven Lang et al.   Remote Sensing

Modeling of solar radiation using remote sensing and artificial neural network in Turkey

(2010) Ozan Şenkal   ENERGY

Estimating rural populations without access to electricity in developing countries through night-time light satellite imagery

(2010) Christopher N.H. Doll et al.   ENERGY POLICY

Surface coal mine area monitoring using multi-temporal high-resolution satellite imagery

(2010) Nuray Demirel et al.   INTERNATIONAL JOURNAL OF COAL GEOLOGY

The use of night-time lights satellite imagery as a measure of Australia's regional electricity consumption and population distribution

(2010) Alexander C. Townsend et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

The Energy-Poverty-Climate Nexus

(2010) C. E. Casillas et al.   SCIENCE

Towards automatic power line detection for a UAV surveillance system using pulse coupled neural filter and an improved Hough transform

(2009) Zhengrong Li et al.   MACHINE VISION AND APPLICATIONS