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RESEARCH PAPER · ACM Computing Surveys · 2022

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, Alexandra Sasha Luccioni, Tegan Maharaj, Evan David Sherwin, Surya Karthik Mukkavilli, Konrad Paul Kording, Carla Pedro Gomes, Andrew Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer Chayes, Yoshua Bengio

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Tackling Climate Change with Machine LearningOriginal3D convolutional and recurrent neural networks for reactor perturbation unfolding and anomaly detection14Decay Replay Mining to Predict Next Process Events62Leveraging digitalization for sustainability in urban transport62Aligning evidence generation and use across health, development, and environment20Understanding ML Driven HPC: Applications and Infrastructure12Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures23Understanding ML driven HPC: Applications and Infrastructure2Determining offshore wind installation times using machine learning and open data3Measuring Impact of Climate Change on Tree Species: analysis of JSDM on FIA data2Quantifying the Carbon Emissions of Machine Learning124Predicting Weather Uncertainty with Deep Convnets10AI Ethics for Systemic Issues: A Structural Approach6AD2: Improving Quality of IoT Data through Compressive Anomaly Detection5On the Morality of Artificial Intelligence570 years of machine learning in geoscience in review228A Dictionary-Based Generalization of Robust PCA With Applications to Target Localization in Hyperspectral Imaging11Classification of Eddy Sea Surface Temperature Signatures Under Cloud Coverage21Deep Learning-Based Computer Vision Application with Multiple Built-In Data Science-Oriented Capabilities2Electricity Technological Mix Forecasting for Life Cycle Assessment Aware Scheduling13Mining and Analysis of Air Quality Data to Aid Climate Change3The Ethics of AI Ethics: An Evaluation of Guidelines394Towards Accurate and Reliable Energy Measurement of NLP Models30Exploring Benefits of Transfer Learning in Neural Machine Translation15Transition numérique de la gestion des risques : enjeux, outils et perspectives0A study on deep learning spatiotemporal models and feature extraction techniques for video understanding34Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning169Can exascale computing and explainable artificial intelligence applied to plant biology deliver on the United Nations sustainable development goals?58A geospatial assessment of the rooftop decarbonisation potential of industrial and commercial zoned buildings: An example of Irish cities and regions21Machine Learning to Evaluate Impacts of Flood Protection in Bangladesh, 1983–201424HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery71Transformation-based Adversarial Video Prediction on Large-Scale Data12Deep-SST-Eddies: A Deep Learning Framework to Detect Oceanic Eddies in Sea Surface Temperature Images26Improving on legacy conferences by moving online77Capitalizing on AI?s Potential to Help Tackle the Climate Crisis [Opinion]4Leveraging Digital Disruptions for a Climate-Safe and Equitable World: The Dˆ2S Agenda: [Commentary]6Sustainability in the Digital Age [Special Issue Introduction]2Shallow aquifer monitoring using handpump vibration data9Principles to Practices for Responsible AI: Closing the Gap63Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review647Neural Anisotropy Directions7Leveraging traditional ecological knowledge in ecosystem restoration projects utilizing machine learning2Is a trillion trees enough?0Physically Interpretable Neural Networks for the Geosciences: Applications to Earth System Variability311COVID, CITIES and CLIMATE: Historical Precedents and Potential Transitions for the New Economy87S2RMs: Spatially Structured Recurrent Modules7An empirical exploration of performance metrics for event detection algorithms in Non-Intrusive Load Monitoring20Bounding Regression Errors in Data-Driven Power Grid Steady-State Models27Digital Technologies and Dynamic Resource Management1Harmonizing Artificial Intelligence for Social Good70Probabilistic Forecasting for Daily Electricity Loads and Quantiles for Curve-to-Curve Regression4Developing a common approach for classifying building stock energy models116Emissions trading systems for global low carbon energy and economic transformation53Policy brief: the creation of a G20 coordinating committee for the governance of artificial intelligence62Maximum Reward Formulation In Reinforcement Learning5Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models7Vegetation and Drought Trends in Sweden’s Mälardalen Region – Year-on-Year Comparison by Gaussian Process Regression1Ice Monitoring in Swiss Lakes from Optical Satellites and Webcams Using Machine Learning18Aligning AI Optimization to Community Well-Being77Shortcut learning in deep neural networks2114The proper care and feeding of CAMELS: How limited training data affects streamflow prediction242Interpretable and Transferable Models to Understand the Impact of Lockdown Measures on Local Air Quality1The Human Effect Requires Affect: Addressing Social-Psychological Factors of Climate Change with Machine Learning1Toward indicators of the performance of US infrastructures under climate change risks16Scaling Down Deep Learning with MNIST-1D7New ANN results on a major benchmark for the prediction of RUL of Lithium Ion batteries in electric vehicles10Learning from urban form to predict building heights92Anomaly Detection in Edge Nodes using Sparsity Profile9Normalized Label Distribution: Towards Learning Calibrated, Adaptable and Efficient Activation Maps0Forecasting the impact of climate change on thermal comfort using a weighted ensemble of supervised learning models21CityLearn: Standardizing Research in Multi-Agent Reinforcement Learning for Demand Response and Urban Energy Management44AI for Humanity: The Global Challenges2Dynamic Shift from Cloud Computing to Industry 4.0: Eco-Friendly Choice or Climate Change Threat6Position: Who Gets to Harness (X)AI? For Billion-Dollar Organizations Only.0Should Artificial Intelligence Governance be Centralised?: Design Lessons from History21Study of Climate Change Detection in North-East Africa Using Machine Learning and Satellite Data21Sustainable Climate Change Policies Driven by Global CO2 Reduction During COVID-195The Role of Digital Technologies in Responding to the Grand Challenges of the Natural Environment: The Windermere Accord10Using Artificial Intelligence to Visualize the Impacts of Climate Change95Bridging the Gap: the case for an Incompletely Theorized Agreement on AI policy0The color out of space: learning self-supervised representations for Earth Observation imagery52Bridging the gap: the case for an ‘Incompletely Theorized Agreement’ on AI policy25Foundations of a Fast, Data-Driven, Machine-Learned Simulator15Will Artificial Intelligence supersede Earth System and Climate Models?9Fault classification in the process industry using polygon generation and deep learning23Network Engineering versus Climate Change2Algorithmic conservation in a changing climate36Physics-constrained deep learning of multi-zone building thermal dynamics168Progress in climate change adaptation research94Improving vehicles' emissions reduction policies by targeting gross polluters.1DC3: A learning method for optimization with hard constraints68Generative modeling of spatio-temporal weather patterns with extreme event conditioning8DeepComp: Deep reinforcement learning based renewable energy error compensable forecasting36Machine Learning for Clouds and Climate (Invited Chapter for the AGU Geophysical Monograph Series “Clouds and Climate”)37IMPACT OF THE CLIMATE ON AGRICULTURE AND LIVESTOCK0Detection and Prediction of Nutrient Deficiency Stress using Longitudinal Aerial Imagery1Environmental Management and Data for the SDGs1Explaining the Principles to Practices Gap in AI91Machine morality, moral progress, and the looming environmental disaster7Rotation Invariant Graph Neural Networks using Spin Convolutions43Deep learning for improved global precipitation in numerical weather prediction systems20Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging Demand18Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization37Quantum technologies for climate change: Preliminary assessment7Attentive Neural Processes and Batch Bayesian Optimization for Scalable Calibration of Physics-Informed Digital Twins2Transferable Models to Understand the Impact of Lockdown Measures on Local Air Quality4IowaRain: A Statewide Rain Event Dataset Based on Weather Radars and Quantitative Precipitation Estimation29Demand Forecasting in Smart Grid Using Long Short-Term Memory33A Truly Spatial Random Forests Algorithm for Geoscience Data Analysis and Modelling100Learning a Sensor-invariant Embedding of Satellite Data: A Case Study for Lake Ice Monitoring.0Becoming Good at AI for Good13What are you optimizing for? Aligning Recommender Systems with Human Values23Learning without loss9Exploring machine learning potential for climate change risk assessment137Day-ahead probabilistic forecasting for French half-hourly electricity loads and quantiles for curve-to-curve regression26Simple, low-cost and accurate data-driven geophysical forecasting with learned kernels29A framework for studying outcomes in industrial symbiosis61On the Opportunities and Risks of Foundation Models2191Full-Cycle Energy Consumption Benchmark for Low-Carbon Computer Vision7Differentiable Physics: A Position Piece11Artificial intelligence, systemic risks, and sustainability489CNN-based Temporal Super Resolution of Radar Rainfall Products.1DEM Super-Resolution with EfficientNetV20Artificial Intelligence in the NHS: Climate and Emissions✰,✰✰63Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data331PSML: A Multi-scale Time-series Dataset for Machine Learning in Decarbonized Energy Grids.3Legibility and the Legacy of Racialized Dispossession in Digital Agriculture43The AI gambit: leveraging artificial intelligence to combat climate change—opportunities, challenges, and recommendations545Transition to sustainable chemistry through digitalization85Artificial intelligence: A powerful paradigm for scientific research1702Sustainable AI: Environmental Implications, Challenges and Opportunities342Quantum Algorithms for Unsupervised Machine Learning and Neural Networks0Trend and Thoughts: Understanding Climate Change Concern using Machine Learning and Social Media Data9Adversarially Robust Learning for Security-Constrained Optimal Power Flow3Network-based forecasting of climate phenomena84A Fate Worse Than Warming? Stratospheric Aerosol Injection and Global Catastrophic Risk56Digital Humanism and Global Issues in Artificial Intelligence Ethics1Distributed Green Technologies for Regenerating Greyfields0Perspectives on Digital Humanism106Augmenting physical models with deep networks for complex dynamics forecasting*111Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark1Highlighting the Importance of Reducing Research Bias and Carbon Emissions in CNNs5Neural network attribution methods for problems in geoscience: A novel synthetic benchmark dataset101Use Cases for the Internet of Things2Learning sub-patterns in piecewise continuous functions3Artificial intelligence development races in heterogeneous settings38Enhancing Autoignition Characteristics: A Framework to Discover Fuel Additives and Making Predictions Using Machine Learning0A Prediction of Flight Fare Using K-Nearest Neighbors10Carbon-Aware Computing for Datacenters327Approximating Three‐Dimensional (3‐D) Transport of Atmospheric Pollutants via Deep Learning13Recent Ice Trends in Swiss Mountain Lakes: 20-year Analysis of MODIS Imagery9

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  1. 3D convolutional and recurrent neural networks for reactor perturbation unfolding and anomaly detection

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  2. Decay Replay Mining to Predict Next Process Events

    IEEE Access · 2019-01-01

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  3. Leveraging digitalization for sustainability in urban transport

    Global Sustainability · 2019-01-01

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  4. Aligning evidence generation and use across health, development, and environment

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  5. Understanding ML Driven HPC: Applications and Infrastructure

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  6. Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures

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  7. Understanding ML driven HPC: Applications and Infrastructure

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  8. Determining offshore wind installation times using machine learning and open data

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  9. Measuring Impact of Climate Change on Tree Species: analysis of JSDM on FIA data

    arXiv (Cornell University) · 2019-10-11

    Hyun Ki Choi, Ali Sadeghian, Sergio Marconi, Ethan P. White, Daisy Zhe Wang

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  10. Quantifying the Carbon Emissions of Machine Learning

    arXiv (Cornell University) · 2019-10-21

    Alexandre Lacoste, Alexandra Sasha Luccioni, Victor M. Schmidt, Thomas Dandres

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  11. Predicting Weather Uncertainty with Deep Convnets

    arXiv (Cornell University) · 2019-11-02

    Peter Grönquist, Tal Ben‐Nun, Nikoli Dryden, Peter Dominik Dueben, Luca Lavarini, Shigang Li, Torsten Hoefler

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  12. AI Ethics for Systemic Issues: A Structural Approach

    arXiv (Cornell University) · 2019-11-08

    Agnes Schim van der Loeff, I. G. Bassi, Sachin Kapila, Jevgenij Gamper

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  13. AD2: Improving Quality of IoT Data through Compressive Anomaly Detection

    IEEE International Conference on Big Data (BigData) · 2019-12-01

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  14. On the Morality of Artificial Intelligence

    arXiv (Cornell University) · 2019-12-26

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  15. 70 years of machine learning in geoscience in review

    Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) · 2020-01-01

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  16. A Dictionary-Based Generalization of Robust PCA With Applications to Target Localization in Hyperspectral Imaging

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  17. Classification of Eddy Sea Surface Temperature Signatures Under Cloud Coverage

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  18. Deep Learning-Based Computer Vision Application with Multiple Built-In Data Science-Oriented Capabilities

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  19. Electricity Technological Mix Forecasting for Life Cycle Assessment Aware Scheduling

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  20. Mining and Analysis of Air Quality Data to Aid Climate Change

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  26. Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning

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  31. Transformation-based Adversarial Video Prediction on Large-Scale Data

    arXiv (Cornell University) · 2020-03-09

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  32. Deep-SST-Eddies: A Deep Learning Framework to Detect Oceanic Eddies in Sea Surface Temperature Images

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  33. Improving on legacy conferences by moving online

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  34. Capitalizing on AI?s Potential to Help Tackle the Climate Crisis [Opinion]

    IEEE Technology and Society Magazine · 2020-06-01

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  35. Leveraging Digital Disruptions for a Climate-Safe and Equitable World: The Dˆ2S Agenda: [Commentary]

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  36. Sustainability in the Digital Age [Special Issue Introduction]

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  37. Shallow aquifer monitoring using handpump vibration data

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  38. Principles to Practices for Responsible AI: Closing the Gap

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  39. Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review

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  40. Neural Anisotropy Directions

    arXiv (Cornell University) · 2020-06-17

    Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard B

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  41. Leveraging traditional ecological knowledge in ecosystem restoration projects utilizing machine learning

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  42. Is a trillion trees enough?

    arXiv (Cornell University) · 2020-07-01

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  43. Physically Interpretable Neural Networks for the Geosciences: Applications to Earth System Variability

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  44. COVID, CITIES and CLIMATE: Historical Precedents and Potential Transitions for the New Economy

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  45. S2RMs: Spatially Structured Recurrent Modules

    arXiv (Cornell University) · 2020-07-13

    Nasim Rahaman, Anirudh Goyal, Muhammad Waleed Gondal, Manuel Wüthrich, Stefan Bauer, Yash Sharma, Yoshua Bengio, Bernhard Schölkopf

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  46. An empirical exploration of performance metrics for event detection algorithms in Non-Intrusive Load Monitoring

    Sustainable Cities and Society · 2020-07-17

    Lucas Pereira, Nuno Nunes

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  47. Bounding Regression Errors in Data-Driven Power Grid Steady-State Models

    IEEE Transactions on Power Systems · 2020-08-18

    Yuxiao Liu, Bolun Xu, Audun Botterud, Ning Zhang, Chongqing Kang

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  48. Digital Technologies and Dynamic Resource Management

    IEEE International Conference on Smart Computing · 2020-09-01

    Karen Bakker, Rosemary J. Knight, Jim Leape, Alan K. Mackworth, Raymond T. Ng, Max Ritts

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  49. Harmonizing Artificial Intelligence for Social Good

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  50. Probabilistic Forecasting for Daily Electricity Loads and Quantiles for Curve-to-Curve Regression

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