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Machine learning for sustainable energy systems
In recent years, machine learning has proven to be a powerful tool for deriving insights from
data. In this review, we describe ways in which machine learning has been leveraged to …
data. In this review, we describe ways in which machine learning has been leveraged to …
Estimating carbon dioxide emissions from power plant water vapor plumes using satellite imagery and machine learning
HD Couture, M Alvara, J Freeman, A Davitt, H Koenig… - Remote Sensing, 2024 - mdpi.com
Combustion power plants emit carbon dioxide (CO2), which is a major contributor to climate
change. Direct emissions measurement is cost-prohibitive globally, while reporting varies in …
change. Direct emissions measurement is cost-prohibitive globally, while reporting varies in …
Physics-Guided Multitask Learning for Estimating Power Generation and CO2 Emissions From Satellite Imagery
Fossil fuel combustion produces large quantities of carbon dioxide (CO 2), a major
greenhouse gas (GHG), which is one of the main drivers of climate change. A quantitative …
greenhouse gas (GHG), which is one of the main drivers of climate change. A quantitative …
Potentially underestimated gas flaring activities—A new approach to detect combustion using machine learning and NASA's Black Marble product suite
Monitoring changes in greenhouse gas (GHG) emission is critical for assessing climate
mitigation efforts towards the Paris Agreement goal. A crucial aspect of science-based GHG …
mitigation efforts towards the Paris Agreement goal. A crucial aspect of science-based GHG …
Extracting built environment features for planning research with computer vision: a review and discussion of state-of-the-art approaches
This is an extended abstract for a presentation at The 17th International Conference on
CUPUM-Computational Urban Planning and Urban Management in June 2021. This study …
CUPUM-Computational Urban Planning and Urban Management in June 2021. This study …
[PDF][PDF] Multitask learning for estimating power plant greenhouse gas emissions from satellite imagery
The burning of fossil fuels produces large amounts of carbon dioxide (CO2), a major
Greenhouse Gas (GHG) and a main driver of Climate Change. Quantifying GHG emissions …
Greenhouse Gas (GHG) and a main driver of Climate Change. Quantifying GHG emissions …
Towards indirect top-down road transport emissions estimation
R Mukherjee, D Rollend, G Christie… - Proceedings of the …, 2021 - openaccess.thecvf.com
Road transportation is one of the largest sectors of greenhouse gas (GHG) emissions
affecting climate change. Tackling climate change as a global community will require new …
affecting climate change. Tackling climate change as a global community will require new …
Inferring carbon dioxide emissions from power plants using satellite imagery and machine learning
Emissions from fossil fuel power plants are a major contributor to climate change. Directly
measuring emissions at the source is cost-prohibitive throughout most of the world, while …
measuring emissions at the source is cost-prohibitive throughout most of the world, while …
[PDF][PDF] Employing deep learning to quantify power plant greenhouse gas emissions via remote sensing data
A Jain - AAAI 2022 Fall Symposium: The Role of AI in …, 2022 - s3.us-east-1.amazonaws.com
Greenhouse gasses (GHG) emitted from fossil-fuel-burning power plants pose a global
threat to climate and public health. GHG emissions degrade air quality and increase the …
threat to climate and public health. GHG emissions degrade air quality and increase the …
[PDF][PDF] GREENHOUSE GAS EMISSIONS MONITORING
Good information on the sources of greenhouse gas (GHG) emissions is essential for
responding to climate change. Accurate and timely data are needed to design mitigation …
responding to climate change. Accurate and timely data are needed to design mitigation …