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The challenge that climate change poses to humanity has spurred a rapidly developing field of artificial intelligence research focused on climate change applications.
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Xing Deng, Haijian Shao, Chunlong Hu, Dengbiao Jiang, and Yingtao Jiang · 2020
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A critical review of wind power forecasting methods—past, present and future
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Jeremy Irvin, Hao Sheng, Neel Ramachandran, Sonja Johnson-Yu, Sharon Zhou, Kyle Story, Rose Rustowicz, Cooper Elsworth, Kemen Austin, and Andrew Y Ng · 2020
Wind energy for sustainable development: Driving factors and future outlook
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Towards green automated machine learning: Status quo and future directions
Tanja Tornede, Alexander Tornede, Jonas Hanselle, Marcel Wever, Felix Mohr, and Eyke Hüllermeier · 2021
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The open catalyst challenge 2021: Competition report
Abhishek Das, Muhammed Shuaibi, Aini Palizhati, Siddharth Goyal, Aditya Grover, Adeesh Kolluru, Janice Lan, Ammar Rizvi, Anuroop Sriram, Brandon Wood, et al · 2022
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Aligning artificial intelligence with climate change mitigation
Lynn H Kaack, Priya L Donti, Emma Strubell, George Kamiya, Felix Creutzig, and David Rolnick · 2022
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Adeesh Kolluru, Muhammed Shuaibi, Aini Palizhati, Nima Shoghi, Abhishek Das, Brandon Wood, C Lawrence Zitnick, John R Kitchin, and Zachary W Ulissi · 2022
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A review of machine learning applications in wildfire science and management
Piyush Jain, Sean CP Coogan, Sriram Ganapathi Subramanian, Mark Crowley, Steve Taylor, and Mike D Flannigan · 2020
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Radnet 1.0: Exploring deep learning architectures for longwave radiative transfer
Ying Liu, Rodrigo Caballero, and Joy Merwin Monteiro · 2020
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Roy Schwartz, Jesse Dodge, Noah A Smith, and Oren Etzioni · 2020
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Stable machine-learning parameterization of subgrid processes for climate modeling at a range of resolutions
Janni Yuval and Paul A O’Gorman · 2020
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The world as a graph: Improving el niño forecasts with graph neural networks
Salva Rühling Cachay, Emma Erickson, Arthur Fender C Bucker, Ernest Pokropek, Willa Potosnak, Suyash Bire, Salomey Osei, and Björn Lütjens · 2021
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Climart: A benchmark dataset for emulating atmospheric radiative transfer in weather and climate models
Salva Rühling Cachay, Venkatesh Ramesh, Jason NS Cole, Howard Barker, and David Rolnick · 2021
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Open catalyst 2020 (oc20) dataset and community challenges
Lowik Chanussot, Abhishek Das, Siddharth Goyal, Thibaut Lavril, Muhammed Shuaibi, Morgane Riviere, Kevin Tran, Javier Heras-Domingo, Caleb Ho, Weihua Hu, et al · 2021
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Kdd cup 2022 wind power forecasting team 88vip solution
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Smac3: A versatile bayesian optimization package for hyperparameter optimization
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Nas-bench-suite: Nas evaluation is (now) surprisingly easy
Yash Mehta, Colin White, Arber Zela, Arjun Krishnakumar, Guri Zabergja, Shakiba Moradian, Mahmoud Safari, Kaicheng Yu, and Frank Hutter · 2022
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Tackling climate change with machine learning
David Rolnick, Priya L Donti, Lynn H Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, et al · 2022
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Climate change: What everyone needs to know
Joseph Romm · 2022
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Benchmarking graphormer on large-scale molecular modeling datasets
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Application of bert in wind power forecasting-teletraan’s solution in baidu kdd cup 2022, 2022
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The open catalyst 2022 (oc22) dataset and challenges for oxide electrocatalysis
Richard Tran, Janice Lan, Muhammed Shuaibi, Siddharth Goyal, Brandon M Wood, Abhishek Das, Javier Heras-Domingo, Adeesh Kolluru, Ammar Rizvi, Nima Shoghi, et al · 2022
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NAS-bench-360: Benchmarking neural architecture search on diverse tasks
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Sdwpf: A dataset for spatial dynamic wind power forecasting challenge at kdd cup 2022
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Meter-ml: A multi-sensor earth observation benchmark for automated methane source mapping
Bryan Zhu, Nicholas Lui, Jeremy Irvin, Jimmy Le, Sahil Tadwalkar, Chenghao Wang, Zutao Ouyang, Frankie Y Liu, Andrew Y Ng, and Robert B Jackson · 2022
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