Tackling climate change with machine learning
Rolnick, David, Donti, Priya L., Kaack, Lynn H., Kochanski, Kelly, Lacoste, Alexandre, Sankaran, Kris, Ross, Andrew Slavin, Milojevic-Dupont, Nikola +14 more·2023·ACM Computing Surveys
DOI 10.1145/3485128
Cites (806)
Items 401–600 of 806
- Carbon Price Analysis Using Empirical Mode DecompositionZhu, Bangzhu, Wang, Ping, Chevallier, Julien, Wei, Yiming · 2015 · Computational Economics
- Costs of mitigating CO2 emissions from passenger aircraftAndreas W. Schäfer, Antony D. Evans, Tom Reynolds, Lynnette M. Dray · 2015 · Nature Climate Change
- Machine learning approaches for anomaly detection of water quality on a real-world data set*Fitore Muharemi, D. Logofătu, Florin Leon · 2019 · Journal of Information and Telecommunication
- The role of electric vehicles in smart gridsGalus, Matthias D., Vayá, Marina González, Krause, Thilo, Andersson, Göran · 2013 · WIREs Energy and Environment
- Nature Conservation Drones for Automatic Localization and Counting of AnimalsJan C. van Gemert, C. Verschoor, Pascal Mettes, Kitso Epema, Lian Pin Koh, Serge A. Wich · 2015 · Lecture notes in computer science
- Agent-based homeostatic control for green energy in the smart gridRamchurn, Sarvapali D., Vytelingum, Perukrishnen, Rogers, Alex, Jennings, Nicholas R. · 2011 · ACM Transactions on Intelligent Systems and Technology
- Computational sustainability: computing for a better world and a sustainable futureGomes, Carla, Dietterich, Thomas, Barrett, Christopher, Conrad, Jon, Dilkina, Bistra, Ermon, Stefano, Fang, Fei, Farnsworth, Andrew, Fern, Alan, Fern, Xiaoli et al. · 2019 · Communications of the ACM
- Climate change and educational attainment in the global tropicsRandell, Heather, Gray, Clark · 2019 · Proceedings of the National Academy of Sciences
- Towards a predictor for CO2 plume migration using deep neural networksWen, Gege, Tang, Meng, Benson, Sally M. · 2021 · International Journal of Greenhouse Gas Control
- Comparative study of metamodelling techniques in building energy simulation: Guidelines for practitionersVan Gelder, Liesje, Das, Payel, Janssen, Hans, Roels, Staf · 2014 · Simulation Modelling Practice and Theory
- Improved aerosol radiative properties as a foundation for solar geoengineering risk assessmentDykema, J. A., Keith, D. W., Keutsch, F. N. · 2016 · Geophysical Research Letters
- Intelligent systems for geosciencesYolanda Gil, Suzanne A. Pierce, Hassan A. Babaie et al. · 2018 · Communications of the ACM
- Short-term forecasting of CO2 emission intensity in power grids by machine learningKenneth Leerbeck, Peder Bacher, Rune Grønborg Junker · 2020 · Applied Energy
- Hierarchical Leak Detection and Localization Method in Natural Gas Pipeline Monitoring Sensor NetworksWan, Jiangwen, Yu, Yang, Wu, Yinfeng, Feng, Renjian, Yu, Ning · 2011 · Sensors
- Development of an agent-based model for regional market penetration projections of electric vehicles in the United StatesNoori, Mehdi, Tatari, Omer · 2016 · Energy
- Building type classification using spatial and landscape attributes derived from LiDAR remote sensing dataLu, Zhenyu, Im, Jungho, Rhee, Jinyoung, Hodgson, Michael · 2014 · Landscape and Urban Planning
- Task-based End-to-end Model Learning in Stochastic OptimizationPriya L. Donti, Brandon Amos, J. Zico Kolter · 2017 · arXiv (Cornell University)
- How to optimize the development of carbon trading in China—Enlightenment from evolution rules of the EU carbon priceFang, Guochang, Tian, Lixin, Liu, Menghe, Fu, Min, Sun, Mei · 2018 · Applied Energy
- Evaluating the performance of infectious disease forecasts: A comparison of climate-driven and seasonal dengue forecasts for MexicoJohansson, Michael A., Reich, Nicholas G., Hota, Aditi, Brownstein, John S., Santillana, Mauricio · 2016 · Scientific Reports
- Toward Distributed Energy Services: Decentralizing Optimal Power Flow With Machine LearningDobbe, Roel, Sondermeijer, Oscar, Fridovich-Keil, David, Arnold, Daniel, Callaway, Duncan, Tomlin, Claire · 2020 · IEEE Transactions on Smart Grid
- Transforming Epidemiology for 21st Century Medicine and Public HealthKhoury, Muin J., Lam, Tram Kim, Ioannidis, John P.A., Hartge, Patricia, Spitz, Margaret R., Buring, Julie E., Chanock, Stephen J., Croyle, Robert T., Goddard, Katrina A., Ginsburg, Geoffrey S. et al. · 2013 · Cancer Epidemiology, Biomarkers & Prevention
- Computational Sustainability: Computational methods for a sustainable environment, economy, and societyCarla P. Gomes · 2009 · The Bridge
- Plant Phenotyping using Probabilistic Topic Models: Uncovering the Hyperspectral Language of PlantsWahabzada, Mirwaes, Mahlein, Anne-Katrin, Bauckhage, Christian, Steiner, Ulrike, Oerke, Erich-Christian, Kersting, Kristian · 2016 · Scientific Reports
- Deep learning versus traditional machine learning methods for aggregated energy demand predictionPaterakis, Nikolaos G., Mocanu, Elena, Gibescu, Madeleine, Stappers, Bart, van Alst, Walter · 2017 · 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)
- Big data has big potential for applications to climate change adaptationJames D. Ford, Simon Tilleard, Lea Berrang‐Ford, Malcolm Araos, Robbert G. Biesbroek, Alexandra C. Lesnikowski, Graham K. MacDonald, Angel Hsu, Chen Chen, Lívia Bíziková · 2016 · Proceedings of the National Academy of Sciences
- Topic based classification and pattern identification in patentsVenugopalan, Subhashini, Rai, Varun · 2015 · Technological Forecasting and Social Change
- Prediction of arrival times of freight traffic on US railroads using support vector regressionBarbour, William, Martinez Mori, Juan Carlos, Kuppa, Shankara, Work, Daniel B. · 2018 · Transportation Research Part C: Emerging Technologies
- Data-driven agent-based modeling, with application to rooftop solar adoptionHaifeng Zhang, Yevgeniy Vorobeychik, Joshua Letchford, Kiran Lakkaraju · 2016 · Autonomous Agents and Multi-Agent Systems
- Data-driven robotic sampling for marine ecosystem monitoringJnaneshwar Das, Frédéric Py, Julio B.J. Harvey · 2015 · The International Journal of Robotics Research
- Social innovation and climate adaptation: Local collective action in diversifying TanzaniaRodima-Taylor, Daivi · 2012 · Applied Geography
- S2S reboot: An argument for greater inclusion of machine learning in subseasonal to seasonal forecastsJudah L. Cohen, Dim Coumou, Jessica Hwang, Lester W. Mackey, Paulo Orenstein, Sonja Totz, Eli Tziperman · 2018 · Wiley Interdisciplinary Reviews Climate Change
- Bulk Energy Storage Increases United States Electricity System EmissionsEric Hittinger, Inês M.L. Azevedo · 2015 · Environmental Science & Technology
- Humanitarian applications of machine learning with remote-sensing data: review and case study in refugee settlement mappingJohn A. Quinn, Marguerite Nyhan, Celia Navarro, Davide M. Coluccia, Lars Bromley, Miguel Angel Luengo-Oroz · 2018 · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
- Lean versus green: The impact of lean logistics on greenhouse gas emissions in consumer goods supply chainsGustavo M. Ugarte, Jay S. Golden, Kevin J. Dooley · 2015 · Journal of Purchasing and Supply Management
- Stranded research? Leading finance journals are silent on climate changeDiaz-Rainey, Ivan, Robertson, Becky, Wilson, Charlie · 2017 · Climatic Change
- Wind power forecasting—a review of the state of the artGregor Giebel, Georges Kariniotakis · 2017 · Elsevier eBooks
- Gigawatt-hour scale savings on a budget of zero: Deep reinforcement learning based optimal control of hot water systemsKazmi, Hussain, Mehmood, Fahad, Lodeweyckx, Stefan, Driesen, Johan · 2018 · Energy
- Review of prognostic problem in condition-based maintenanceOtilia Elena Dragomir, Rafael Gouriveau, Florin Dragomir · 2009 · European Control Conference (ECC)
- Failure analysis of parameter-induced simulation crashes in climate modelsDonald D. Lucas, R. Klein, John Tannahill, D. Ivanova, Scott T. Brandon, David Domyancic, Yunyan Zhang · 2013 · Geoscientific model development
- Artificial Intelligence for Social GoodHager, Gregory D., Drobnis, Ann, Fang, Fei, Ghani, Rayid, Greenwald, Amy, Lyons, Terah, Parkes, David C., Schultz, Jason, Saria, Suchi, Smith, Stephen F. et al. · 2019 · arXiv
- Coordinated energy management for a cluster of buildings through deep reinforcement learningPinto, Giuseppe, Piscitelli, Marco Savino, Vázquez-Canteli, José Ramón, Nagy, Zoltán, Capozzoli, Alfonso · 2021 · Energy
- Multi-Armed Bandits for Intelligent Tutoring SystemsClement, Benjamin, Didier Roy, Pierre‐Yves Oudeyer, Manuel C. Lopes · 2013 · arXiv (Cornell University)
- Residential Load Scheduling With Renewable Generation in the Smart Grid: A Reinforcement Learning ApproachRemani, T., Jasmin, E.A., Ahamed, T.P. Imthias · 2019 · IEEE Systems Journal
- A decision support system for sustainable energy supply combining multi-objective and multi-attribute analysis: An Australian case studyMattiussi, Alessandro, Rosano, Michele, Simeoni, Patrizia · 2014 · Decision Support Systems
- Algorithms for a spot price responding residential load controllerSchweppe, F.C., Daryanian, B., Tabors, R.D. · 1989 · IEEE Transactions on Power Systems
- Comparison of Life Cycle Greenhouse Gases from Natural Gas Pathways for Medium and Heavy-Duty VehiclesFan Tong, Paulina Jaramillo, Inês M.L. Azevedo · 2015 · Environmental Science & Technology
- Sequences of purchases in credit card data reveal lifestyles in urban populationsDi Clemente, Riccardo, Luengo-Oroz, Miguel, Travizano, Matias, Xu, Sharon, Vaitla, Bapu, González, Marta C. · 2018 · Nature Communications
- Results of the JET real-time disruption predictor in the ITER-like wall campaignsVega, Jesús, Dormido-Canto, Sebastián, López, Juan M., Murari, Andrea, Ramírez, Jesús M., Moreno, Raúl, Ruiz, Mariano, Alves, Diogo, Felton, Robert · 2013 · Fusion Engineering and Design
- Multi-Dimensional Infrastructure Resilience Modeling: An Application to Hurricane-Prone Electric Power Distribution SystemsRoshanak Nateghi · 2018 · IEEE Access
- Electrical Load Forecasting : Modeling and Model ConstructionS.A. Soliman, Ahmad M. Al-Kandari · 2010
- Studying geoengineering with natural and anthropogenic analogsRobock, Alan, MacMartin, Douglas G., Duren, Riley, Christensen, Matthew W. · 2013 · Climatic Change
- Identifying and prioritizing barriers to implementation of smart energy city projects in Europe: An empirical approachFarnaz Mosannenzadeh, Maria Rosaria Di Nucci, Daniele Vettorato · 2017 · Energy Policy
- Synthetic Examples Improve Generalization for Rare ClassesBeery, Sara, Liu, Yang, Morris, Dan, Piavis, Jim, Kapoor, Ashish, Meister, Markus, Joshi, Neel, Perona, Pietro · 2020 · 2020 IEEE Winter Conference on Applications of Computer Vision (WACV)
- Matrix Completion for Low-Observability Voltage EstimationPriya L. Donti, Yajing Liu, Andreas Schmitt · 2019 · IEEE Transactions on Smart Grid
- An Objective Method of Evaluating and Devising Storm-Tracking AlgorithmsValliappa Lakshmanan, Travis M. Smith · 2009 · Weather and Forecasting
- Towards occupant activity driven smart buildings via WiFi-enabled IoT devices and deep learningZou, Han, Zhou, Yuxun, Yang, Jianfei, Spanos, Costas J. · 2018 · Energy and Buildings
- Bioenergy production and sustainable development: science base for policymaking remains limitedCarmenza Robledo‐Abad, Hans‐Jörg Althaus, Göran Berndes, Simon Bolwig, Esteve Corbera, Felix Creutzig, John Garcia‐Ulloa, Anna Geddes, Jay Sterling Gregg, Helmut Haberl et al. · 2016 · GCB Bioenergy
- Learning for Constrained Optimization: Identifying Optimal Active Constraint SetsSidhant Misra, Line Roald, Yeesian Ng · 2021 · INFORMS journal on computing
- Online Job-Migration for Reducing the Electricity Bill in the CloudNiv Buchbinder, Navendu Jain, Ishai Menache · 2011 · Lecture notes in computer science
- Disruption forecasting at JET using neural networksCannas, B, Fanni, A, Marongiu, E, Sonato, P · 2004 · Nuclear Fusion
- FluBreaks: Early Epidemic Detection from Google Flu TrendsPervaiz, Fahad, Pervaiz, Mansoor, Abdur Rehman, Nabeel, Saif, Umar · 2012 · Journal of Medical Internet Research
- The health and visibility cost of air pollution: a comparison of estimation methodsDelucchi, Mark A, Murphy, James J, McCubbin, Donald R · 2002 · Journal of Environmental Management
- Building Energy Use Prediction and System Identification Using Recurrent Neural NetworksKreider, J. F., Claridge, D. E., Curtiss, P., Dodier, R., Haberl, J. S., Krarti, M. · 1995 · Journal of Solar Energy Engineering
- Learning teaching strategies in an Adaptive and Intelligent Educational System through Reinforcement LearningIglesias, Ana, Martínez, Paloma, Aler, Ricardo, Fernández, Fernando · 2009 · Applied Intelligence
- Multi-objective optimization of solid waste flows: Environmentally sustainable strategies for municipalitiesR. Minciardi, Massimo Paolucci, Michela Robba · 2007 · Waste Management
- Automatic socio-economic classification of households using electricity consumption dataChristian Beckel, Leyna Sadamori, Silvia Santini · 2013 · International Conference on Future Energy Systems
- The evaluation of the spatial integration of station areas via the node place model; an application to subway station areas in TehranMonajem, Saeed, Ekram Nosratian, Farzan · 2015 · Transportation Research Part D: Transport and Environment
- A Comprehensive Wind Power Forecasting System Integrating Artificial Intelligence and Numerical Weather PredictionBranko Kosović, Sue Ellen Haupt, Daniel R. Adriaansen et al. · 2020 · Energies
- Predictions of H-mode performance in ITERRobert V. Budny, R. André, Glenn Bateman · 2008 · Nuclear Fusion
- Shared Autonomous Vehicles as a Sustainable Solution to the Last Mile Problem: A Case Study of Ann Arbor-Detroit AreaMoorthy, Aditi, De Kleine, Robert, Keoleian, Gregory, Good, Jeremy, Lewis, Geoff · 2017 · SAE International Journal of Passenger Cars - Electronic and Electrical Systems
- On-demand motorcycle taxis improve mobility, not sustainabilitySuatmadi, Anissa Yuniashaesa, Creutzig, Felix, Otto, Ilona M. · 2019 · Case Studies on Transport Policy
- Learning from urban form to predict building heightsMilojevic-Dupont, Nikola, Hans, Nicolai, Kaack, Lynn H., Zumwald, Marius, Andrieux, François, de Barros Soares, Daniel, Lohrey, Steffen, Pichler, Peter-Paul, Creutzig, Felix · 2020 · PLOS ONE
- Direct policy search for robust multi-objective management of deeply uncertain socio-ecological tipping pointsJulianne D. Quinn, Patrick M. Reed, Klaus M. Keller · 2017 · Environmental Modelling & Software
- A cross-tokamak neural network disruption predictor for the JET and ASDEX Upgrade tokamaksWindsor, C.G, Pautasso, G, Tichmann, C, Buttery, R.J, Hender, T.C, Contributors, JET EFDA, Team, the ASDEX Upgrade · 2005 · Nuclear Fusion
- Machine Learning Techniques for Supporting Renewable Energy Generation and Integration: A SurveyKasun S. Perera, Zeyar Aung, Wei Lee Woon · 2014 · Lecture notes in computer science
- Tree-based ensemble methods for sensitivity analysis of environmental models: A performance comparison with Sobol and Morris techniquesJaxa-Rozen, Marc, Kwakkel, Jan · 2018 · Environmental Modelling & Software
- Assessing the relative importance of psychological and demographic factors for predicting climate and environmental attitudesBeiser-McGrath, Liam F., Huber, Robert A. · 2018 · Climatic Change
- A machine learning approach to map tropical selective loggingHethcoat, M.G., Edwards, D.P., Carreiras, J.M.B., Bryant, R.G., França, F.M., Quegan, S. · 2019 · Remote Sensing of Environment
- Analyzing machine learning models to accelerate generation of fundamental materials insightsUmehara, Mitsutaro, Stein, Helge S., Guevarra, Dan, Newhouse, Paul F., Boyd, David A., Gregoire, John M. · 2019 · npj Computational Materials
- Online Mixed-Integer Optimization in MillisecondsDimitris Bertsimas, Bartolomeo Stellato · 2022 · INFORMS journal on computing
- Disaggregating solar generation from feeder-level measurementsEmre Can Kara, Ciaran Roberts, Michaelangelo D. Tabone · 2017 · Sustainable Energy Grids and Networks
- A Design-based Approach to Fostering Understanding of Global Climate ChangeVanessa Svihla, Marcia C. Linn · 2011 · International Journal of Science Education
- A roadmap toward airport demand and capacity managementJacquillat, Alexandre, Odoni, Amedeo R. · 2018 · Transportation Research Part A: Policy and Practice
- Using Reality Mining to Improve Public Health and MedicineAlex Pentland, David M. J. Lazer, Devon D. Brewer, Tracy Heibeck · 2009 · Studies in health technology and informatics
- Large-Scale Semantic 3D Reconstruction: An Adaptive Multi-resolution Model for Multi-class Volumetric LabelingBlaha, Maros, Vogel, Christoph, Richard, Audrey, Wegner, Jan D., Pock, Thomas, Schindler, Konrad · 2016 · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- Autonomous Electric Vehicle Sharing System DesignNamwoo Kang, Fred M. Feinberg, Panos Y. Papalambros · 2016 · Journal of Mechanical Design
- Ch. 2: Temperature-Related Death and Illness. The Impacts of Climate Change on Human Health in the United States: A Scientific AssessmentSarofim, M.C., Saha, S., Hawkins, M.D., Mills, D.M., Hess, J., Horton, R., Kinney, P., Schwartz, J., St. Juliana, A. · 2016
- Non-linear model-based optimization of actuator trajectories for tokamak plasma profile controlFederico Felici, O. Sauter · 2012 · Plasma Physics and Controlled Fusion
- A decision support approach for condition-based maintenance of rails based on big data analysisJamshidi, Ali, Hajizadeh, Siamak, Su, Zhou, Naeimi, Meysam, Núñez, Alfredo, Dollevoet, Rolf, De Schutter, Bart, Li, Zili · 2018 · Transportation Research Part C: Emerging Technologies
- Using a citizen science program to monitor coral reef biodiversity through space and timeBranchini, Simone, Pensa, Francesco, Neri, Patrizia, Tonucci, Bianca Maria, Mattielli, Lisa, Collavo, Anna, Sillingardi, Maria Elena, Piccinetti, Corrado, Zaccanti, Francesco, Goffredo, Stefano · 2015 · Biodiversity and Conservation
- Allowing a wildfire to burn: estimating the effect on future fire suppression costsHoutman, Rachel M., Montgomery, Claire A., Gagnon, Aaron R., Calkin, David E., Dietterich, Thomas G., McGregor, Sean, Crowley, Mark · 2013 · International Journal of Wildland Fire
- Quantifying the impact of sulfate geoengineering on mortality from air quality and UV-B exposureEastham, Sebastian D., Weisenstein, Debra K., Keith, David W., Barrett, Steven R.H. · 2018 · Atmospheric Environment
- Improving Subseasonal Forecasting in the Western U.S. with Machine LearningHwang, Jessica, Orenstein, Paulo, Cohen, Judah, Pfeiffer, Karl, Mackey, Lester · 2019 · Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
- A Survey on Applications of Machine Learning for Optimal Power FlowHasan, Fouad, Kargarian, Amin, Mohammadi, Ali · 2020 · 2020 IEEE Texas Power and Energy Conference (TPEC)
- Does Geoengineering Present a Moral Hazard?Albert Lin · 2013 · eScholarship (California Digital Library)
- The climate crisis: an introductory guide to climate change2010 · Choice Reviews Online
- Is there a near-term market for vehicle-to-grid electric vehicles?Hidrue, Michael K., Parsons, George R. · 2015 · Applied Energy
- CO2 Storage Potential of Basaltic Rocks Offshore IcelandSandra Ósk Snæbjörnsdóttir, Sigurður R. Gíslason · 2016 · Energy Procedia
- Improving predictions of tropical forest response to climate change through integration of field studies and ecosystem modelingXiaohui Feng, María Uriarte, Grizelle González, Sasha C. Reed, Jill Thompson, Jess K. Zimmerman, Lora Murphy · 2017 · Global Change Biology
- Energy consumption prediction using people dynamics derived from cellular network dataAndrey Bogomolov, Bruno Lepri, Roberto Larcher, Fabrizio Antonelli, Fabio Pianesi, Alex Pentland · 2016 · EPJ Data Science
- Hybrid cluster-regression approach to model bikeshare station usageHyland, Michael, Hong, Zihan, Pinto, Helen Karla Ramalho de Farias, Chen, Ying · 2018 · Transportation Research Part A: Policy and Practice
- Machine Learning for the Developing WorldMaria De‐Arteaga, William Herlands, Daniel B. Neill, Artur W. Dubrawski · 2018 · ACM Transactions on Management Information Systems
- Using machine learning to build temperature-based ozone parameterizations for climate sensitivity simulationsPeer Johannes Nowack, Peter Braesicke, Joanna D. Haigh, Nathan Luke Abraham, John Adrian Pyle, Apostolos Voulgarakis · 2018 · Environmental Research Letters
- A multiple quantile regression approach to the wind, solar, and price tracks of GEFCom2014Romain Juban, Henrik Ohlsson, Mehdi Maasoumy · 2016 · International Journal of Forecasting
- Spatiotemporal variation in travel regularity through transit user profilingManley, Ed, Zhong, Chen, Batty, Michael · 2018 · Transportation
- Tactical network planning for food aid distribution in KenyaRancourt, Marie-Ève, Cordeau, Jean-François, Laporte, Gilbert, Watkins, Ben · 2015 · Computers & Operations Research
- Climate variability and educational attainment: Evidence from rural EthiopiaRandell, Heather, Gray, Clark · 2016 · Global Environmental Change
- Machine Learning Applications for Earth ObservationDavid John Lary, Gebreab K. Zewdie, Xun Liu, Daji Wu, Estelle Levetin, Rebecca J. Allee, Nabin K. Malakar, Annette L. Walker, Hamse Y. Mussa, Antonio Mannino et al. · 2018 · Springer eBooks
- Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep LearningBarak Oshri, Annie Hu, Peter Adelson, Xiao Chen, Pascaline Dupas Y, Jeremy M. Weinstein, Marshall Burke, David B. Lobell, Stefano Ermon · 2018 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
- Welfare Impacts of Rural Electrification: Evidence from VietnamDouglas F. Olivares Barnes, Shahidur R. Khandker, Nguyễn Hữu Minh, Hussain A. Samad · 2009
- Automated Phase Mapping with AgileFD and its Application
to Light Absorber Discovery in the V–Mn–Nb Oxide SystemSuram, Santosh K., Xue, Yexiang, Bai, Junwen, Le Bras, Ronan, Rappazzo, Brendan, Bernstein, Richard, Bjorck, Johan, Zhou, Lan, van Dover, R. Bruce, Gomes, Carla P. et al. · 2017 · ACS Combinatorial Science
- Energy Storage Arbitrage in Real-Time Markets via Reinforcement LearningHao Wang, Baosen Zhang · 2018 · IEEE Power Engineering Society General Meeting
- California's regulatory forest carbon market: Viability for northeast landownersKerchner, Charles D., Keeton, William S. · 2015 · Forest Policy and Economics
- A Deep Learning Approach to Anomaly Detection in Nuclear ReactorsFrancesco Calivá, Fabio Sousa De Ribeiro, Antonios G. Mylonakis, Christophe Demazière, Paolo Vinai, Georgios Leontidis, Stefanos Kollias · 2018 · International Joint Conference on Neural Networks (IJCNN)
- Agent-based modeling of environment-migration linkages: a reviewThober, Jule, Schwarz, Nina, Hermans, Kathleen · 2018 · Ecology and Society
- An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy StorageC. Lawrence Zitnick, Lowik Chanussot, Abhishek Das, Siddharth Goyal, Javier Heras‐Domingo, Caleb Ho, Weihua Hu, Thibaut Lavril, Aini Palizhati, Morgane Rivière et al. · 2020 · arXiv (Cornell University)
- A behavioral analysis of freight mode choice decisionsSamimi, Amir, Kawamura, Kazuya, Mohammadian, Abolfazl · 2011 · Transportation Planning and Technology
- Flooding through the lens of mobile phone activityDavid Pastor-Escuredo, Alfredo J. Morales, Yolanda Torres, Jean-Martin Bauer, Amit Wadhwa, Carlos Castro-Correa, Liudmyla Romanoff, Jong Gun Lee, Alex Rutherford, Vanessa Frías-Martínez et al. · 2014 · IEEE Global Humanitarian Technology Conference (GHTC)
- Economic and ecological views on climate change mitigation with bioenergy and negative emissionsCreutzig, Felix · 2016 · GCB Bioenergy
- Analyzing walking route choice through built environments using random forests and discrete choice techniquesTribby, Calvin P, Miller, Harvey J, Brown, Barbara B, Werner, Carol M, Smith, Ken R · 2017 · Environment and Planning B: Urban Analytics and City Science
- Data-driven optimized layout of battery electric vehicle charging infrastructureTao, Ye, Huang, Miaohua, Yang, Lan · 2018 · Energy
- Pattern recognition in building energy performance over time using energy benchmarking dataPapadopoulos, Sokratis, Bonczak, Bartosz, Kontokosta, Constantine E. · 2018 · Applied Energy
- Machine Learning from Schools about Energy EfficiencyFiona Burlig, Christopher R. Knittel, David S. Rapson, Mar Reguant, Catherine Wolfram · 2020 · Journal of the Association of Environmental and Resource Economists
- Water Quality Monitoring System Using IoT and Machine LearningNikhil Koditala, Purnendu Shekar Pandey · 2018
- Decentralized Flood Forecasting Using Deep Neural NetworksMuhammed Ali Sit, İbrahim Demir · 2019
- Prototype of an adaptive disruption predictor for JET based on fuzzy logic and regression treesMurari, A., Vagliasindi, G., Arena, P., Fortuna, L., Barana, O., Johnson, M. · 2008 · Nuclear Fusion
- Estimation of urban commuting patterns using cellphone network dataVanessa Frías-Martínez, Cristina Soguero-Ruíz, Enrique Frı́as-Martı́nez · 2012
- Machine learning for high-dimensional dynamic stochastic economiesScheidegger, Simon, Bilionis, Ilias · 2019 · Journal of Computational Science
- Intelligent Infrastructure for Energy EfficiencyGershenfeld, Neil, Samouhos, Stephen, Nordman, Bruce · 2010 · Science
- Real time transit demand prediction capturing station interactions and impact of special eventsNoursalehi, Peyman, Koutsopoulos, Haris N., Zhao, Jinhua · 2018 · Transportation Research Part C: Emerging Technologies
- Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy ForecastingMatt Wytock, J. Zico Kolter · 2018 · Figshare
- Commitment failures are unlikely to undermine public support for the Paris agreementBeiser-McGrath, Liam F., Bernauer, Thomas · 2019 · Nature Climate Change
- Geographically Weighted Machine Learning and Downscaling for High-Resolution Spatiotemporal Estimations of Wind SpeedLi, Lianfa · 2019 · Remote Sensing
- Learning to run a power network challenge for training topology controllersMarot, Antoine, Donnot, Benjamin, Romero, Camilo, Donon, Balthazar, Lerousseau, Marvin, Veyrin-Forrer, Luca, Guyon, Isabelle · 2020 · Electric Power Systems Research
- CHOOSING PRICE OR QUANTITY CONTROLS FOR GREENHOUSE GASESWilliam A. Pizer · 1999
- A New Method for Determining the Concentration of Electrolyte Components in Lithium-Ion Cells, Using Fourier Transform Infrared Spectroscopy and Machine LearningEllis, L. D., Buteau, S., Hames, Samuel G., Thompson, L. M., Hall, D. S., Dahn, J. R. · 2018 · Journal of The Electrochemical Society
- Robustness of norm-driven cooperation in the commonsSchlüter, Maja, Tavoni, Alessandro, Levin, Simon · 2016 · Proceedings of the Royal Society B: Biological Sciences
- Novel measures of continental‐scale avian migration phenology related to proximate environmental cuesJeffrey F. Kelly, Kyle G. Horton, Phillip M. Stepanian, Kirsten M. de Beurs, Todd Fagin, Eli S. Bridge, Phillip B. Chilson · 2016 · Ecosphere
- A geoprocessing framework to compute urban indicators: The MApUCE tools chainBocher, Erwan, Petit, Gwendall, Bernard, Jérémy, Palominos, Sylvain · 2018 · Urban Climate
- Estimating residential energy consumption in metropolitan areas: A microsimulation approachZhang, Wenwen, Robinson, Caleb, Guhathakurta, Subhrajit, Garikapati, Venu M., Dilkina, Bistra, Brown, Marilyn A., Pendyala, Ram M. · 2018 · Energy
- The quest for fusion powerCowley, Steven C. · 2016 · Nature Physics
- Assessing carbon emissions from road transport through traffic flow estimatorsNocera, Silvio, Ruiz-Alarcón-Quintero, Cayetano, Cavallaro, Federico · 2018 · Transportation Research Part C: Emerging Technologies
- Multi-objective optimization for sustainable development of the power sector: An economic, environmental, and social analysis of IranAtabaki, Mohammad Saeid, Aryanpur, Vahid · 2018 · Energy
- Carbon pricing prediction based on wavelet transform and K-ELM optimized by bat optimization algorithm in China ETS: the case of Shanghai and Hubei carbon marketsWei, Sun, Chongchong, Zhang, Cuiping, Sun · 2018 · Carbon Management
- Wind power forecasting: A systematic literature reviewJorge Maldonado-Correa, Juan Solano, Marco Rojas-Moncayo · 2019 · Wind Engineering
- Observed and simulated changes in Antarctic sea ice extent over the past 50 yearsGagné, M.‐È., Gillett, N. P., Fyfe, J. C. · 2015 · Geophysical Research Letters
- Tracking climate modelsClaire Monteleoni, Gavin A. Schmidt, Shailesh Saroha, Eva Asplund · 2011 · Statistical Analysis and Data Mining The ASA Data Science Journal
- Imperfect automatic image classification successfully describes plankton distribution patternsRobin Faillettaz, Marc Picheral, Jessica Y. Luo, Cédric M. Guigand, Robert K. Cowen, Jean‐Olivier Irisson · 2016 · Methods in Oceanography
- Soft Sensing in Smart Cities: Handling 3Vs Using Recommender Systems, Machine Intelligence, and Data AnalyticsHabibzadeh, Hadi, Boggio-Dandry, Andrew, Qin, Zhou, Soyata, Tolga, Kantarci, Burak, Mouftah, Hussein T. · 2018 · IEEE Communications Magazine
- Techno-economic optimization and social costs assessment of microgrid-conventional grid integration using genetic algorithm and Artificial Neural Networks: A case study for two US citiesNagapurkar, Prashant, Smith, Joseph D. · 2019 · Journal of Cleaner Production
- Automatic classification of building types in 3D city modelsAndré Henn, Christoph Römer, Gerhard Gröger, Lutz Plümer · 2011 · GeoInformatica
- Assessing the use of multiseason QuickBird imagery for mapping invasive species in a Lake Erie coastal MarshDana M. Ghioca-Robrecht, Carol A. Johnston, Mirela G. Tulbure · 2008 · Wetlands
- Multiagent Spatial Simulation of Autonomous Taxis for Urban Commute: Travel Economics and Environmental ImpactsLu, Miaojia, Taiebat, Morteza, Xu, Ming, Hsu, Shu-Chien · 2018 · Journal of Urban Planning and Development
- Leveraging digitalization for sustainability in urban transportFelix Creutzig, Martina Franzen, Rolf Moeckel, Dirk Heinrichs, Kai Nagel, Simon Nieland, Helga Weisz · 2019 · Global Sustainability
- Data-Driven Agent-Based Modeling, with Application to Rooftop Solar AdoptionHaifeng Zhang, Yevgeniy Vorobeychik, Joshua Letchford, Kiran Lakkaraju · 2016
- Predicting the Carbon Price Sequence in the Shenzhen Emissions Exchange Using a Multiscale Ensemble Forecasting Model Based on Ensemble Empirical Mode DecompositionJianguo Zhou, Xuechao Yu, Xiaolei Yuan · 2018 · Energies
- Development of a multiple objective planning theory and system for sustainable air quality monitoring networksChing‐Ho Chen, Ching-Ho Chen, Liu Wei-lin · 2005 · The Science of The Total Environment
- Untitled workJoppa · 2017 · 10.1038/d41586-017-08675-7
- Machine Learning Predictions of a Multiresolution Climate Model EnsembleAnderson, Gemma J., Lucas, Donald D. · 2018 · Geophysical Research Letters
- Analysis of Thousands of Electrochemical Impedance Spectra of Lithium-Ion Cells through a Machine Learning Inverse ModelButeau, Sam, Dahn, J. R. · 2019 · Journal of The Electrochemical Society
- Optimal Multiperiod Pricing with Service GuaranteesBorgs, Christian, Candogan, Ozan, Chayes, Jennifer, Lobel, Ilan, Nazerzadeh, Hamid · 2014 · Management Science
- Domesticating Energy-Monitoring Systems: Challenges and Design ConcernsSundramoorthy, Vasughi, Cooper, Grahame, Linge, Nigel, Liu, Qi · 2011 · IEEE Pervasive Computing
- Benchmarking a Scalable Approximate Dynamic Programming Algorithm for Stochastic Control of Grid-Level Energy StorageDaniel Salas, Warren B. Powell · 2017 · INFORMS journal on computing
- GHG emissions of supply chains from different retail systems in EuropeRizet, Christophe, Cornélis, Eric, Browne, Michael, Léonardi, Jacques · 2010 · Procedia - Social and Behavioral Sciences
- A multi-objective optimization model for sustainable electricity generation and CO2 mitigation (EGCM) infrastructure design considering economic profit and financial riskHan, Jee-Hoon, Ahn, Yu-Chan, Lee, In-Beum · 2012 · Applied Energy
- Analyzing Sustainability Reports Using Natural Language ProcessingAlexandra Sasha Luccioni, Emi Baylor, Nicolas Duchêne · 2020 · arXiv (Cornell University)
- Cirrus cloud seeding: a climate engineering mechanism with reduced side effects?Storelvmo, T., Boos, W. R., Herger, N. · 2014 · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
- Data-Driven Studies of Li-Ion-Battery MaterialsKauwe, Steven K., Rhone, Trevor David, Sparks, Taylor D. · 2019 · Crystals
- Machine Learning in Policy Evaluation: New Tools for Causal InferenceKreif, Noémi, DiazOrdaz, Karla · 2019 · Oxford Research Encyclopedia of Economics and Finance
- Machine Learning for AC Optimal Power FlowNeel Guha, Zhecheng Wang, Matt Wytock · 2019 · arXiv (Cornell University)
- Mapping Selective Logging in Mixed Deciduous ForestLippitt, Christopher D., Rogan, John, Li, Zhe, Eastman, J. Ronald, Jones, Trevor G. · 2008 · Photogrammetric Engineering & Remote Sensing
- Using Spatial Reinforcement Learning to Build Forest Wildfire Dynamics Models From Satellite ImagesGanapathi Subramanian, Sriram, Crowley, Mark · 2018 · Frontiers in ICT
- Estimating multi-year
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origin-destination demand using high-granular multi-source traffic dataMa, Wei, Qian, Zhen (Sean) · 2018 · Transportation Research Part C: Emerging Technologies
- Energy for TransportMaria Josefina Figueroa, Oliver Lah, Lewis M. Fulton, Alan Campbell McKinnon, Geetam Tiwari · 2014 · Annual Review of Environment and Resources
- Scalable Anomaly Detection for Smart City Infrastructure NetworksDjellel Eddine Difallah, Philippe Cudré-Mauroux, Sean Andrew McKenna · 2013 · IEEE Internet Computing
- Introduction to climate dynamics and climate modelingHugues Goosse, Pierre-Yves Barriat, Marie‐France Loutre · 2010
- Stochastic gradient based extreme learning machines for stable online learning of advanced combustion enginesJanakiraman, Vijay Manikandan, Nguyen, XuanLong, Assanis, Dennis · 2016 · Neurocomputing
- A MECHANISM DESIGN APPROACH TO CLIMATE-CHANGE AGREEMENTSMartimort, David, Sand-Zantman, Wilfried · 2016 · Journal of the European Economic Association
- A scenario-based approach for assessing the energy performance of urban development pathwaysSilva, Mafalda, Leal, Vítor, Oliveira, Vítor, Horta, Isabel M. · 2018 · Sustainable Cities and Society
- Climate ChangeJoseph Romm · 2018
- Multi-objective ranking of climate change mitigation policies and measures in LithuaniaDalia Štreimikienė, Tomas Baležentis · 2012 · Renewable and Sustainable Energy Reviews
- Eliciting good teaching from humans for machine learnersMaya Çakmak, Andrea L. Thomaz · 2014 · Artificial Intelligence
- Carbon Price Forecasting with a Hybrid ARIMA and Least Squares Support Vector Machines MethodologyBangzhu Zhu, Julien Chevallier · 2017 · Springer eBooks
- Application of the support vector machine and heuristic k-shortest path algorithm to determine the most eco-friendly path with a travel time constraintWeiliang Zeng, Tomio Miwa, Takayuki Morikawa · 2017 · Transportation Research Part D Transport and Environment
- Reducing the loss of information and gaining accuracy with clustering methods in a global land-use modelDietrich, Jan Philipp, Popp, Alexander, Lotze-Campen, Hermann · 2013 · Ecological Modelling
- Meeting in the Global Workplace: Air Travel, Telepresence and the BodyStrengers, Yolande · 2015 · Mobilities
- The Engineering of Climate EngineeringDouglas G. MacMartin, Ben Kravitz · 2018 · Annual Review of Control Robotics and Autonomous Systems
- Analyzing high speed rail passengers’ train choices based on new online booking data in ChinaSun, Yanshuo, Jiang, Zhibin, Gu, Jinjing, Zhou, Min, Li, Yeming, Zhang, Lei · 2018 · Transportation Research Part C: Emerging Technologies
- From Satellite Imagery to Disaster InsightsJigar Doshi, Saikat Basu, Guan Pang · 2018 · arXiv (Cornell University)
- Flow: A Modular Learning Framework for Autonomy in TrafficCathy Wu, Aboudy Kreidieh, Kanaad Parvate, Eugene Vinitsky, Alexandre M. Bayen · 2017 · arXiv (Cornell University)
- Theory and Practice in Policy AnalysisMillett Granger Morgan · 2017 · Cambridge University Press eBooks
- Learning at ScaleRoll, Ido, Russell, Daniel M., Gašević, Dragan · 2018 · International Journal of Artificial Intelligence in Education
- Short-Term Origin-Destination Based Metro Flow Prediction with Probabilistic Model Selection ApproachXiaoqing Dai, Lijun Sun, Yanyan Xu · 2018 · Journal of Advanced Transportation
- Forest Drought Resistance at Large Geographic ScalesBrodrick, P. G., Anderegg, L. D. L., Asner, G. P. · 2019 · Geophysical Research Letters
- A VISION FOR THE DEVELOPMENT OF BENCHMARKS TO BRIDGE GEOSCIENCE AND DATA SCIENCEImme Ebert‐Uphoff, David R. Thompson, İbrahim Demir · 2017 · International Workshop Climate Informatics
- Green IT in practice: virtual meetings in Swedish public agenciesArnfalk, Peter, Pilerot, Ulf, Schillander, Per, Grönvall, Pontus · 2016 · Journal of Cleaner Production
- Public Opinion on Dockless Bike Sharing: A Machine Learning ApproachRahim Taleqani, Ali, Hough, Jill, Nygard, Kendall E. · 2019 · Transportation Research Record: Journal of the Transportation Research Board
- Advancing Fusion with Machine Learning Research Needs Workshop ReportHumphreys, David, Kupresanin, A., Boyer, M. D., Canik, J., Chang, C. S., Cyr, E. C., Granetz, R., Hittinger, J., Kolemen, E., Lawrence, E. et al. · 2020 · Journal of Fusion Energy
- Climate Informatics: Accelerating Discovering in Climate Science with Machine LearningClaire Monteleoni, Gavin A. Schmidt, Scott McQuade · 2013 · Computing in Science & Engineering
- Hedonic Housing Theory — A Machine Learning InvestigationOladunni, Timothy, Sharma, Sharad · 2016 · 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA)