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 201–400 of 806
- Machine learning in energy economics and finance: A reviewHamed Ghoddusi, Germán G. Creamer, Nima Rafizadeh · 2019 · Energy Economics
- A deep learning approach to on-node sensor data analytics for mobile or wearable devicesRavi, Daniele, Wong, Charence, Lo, Benny, Yang, Guang-Zhong · 2017 · IEEE Journal of Biomedical and Health Informatics
- Hedging Climate RiskAndersson, Mats, Bolton, Patrick, Samama, Frédéric · 2016 · Financial Analysts Journal
- The Lancet countdown: Tracking progress on health and climate changeWatts, Nick, Adger, W Neil, Ayeb-Karlsson, Sonja, Bai, Yuqi, Byass, Peter, Campbell-Lendrum, Diarmid, Colbourn, Tim, Cox, Peter, Davies, Michael, Depledge, Michael et al. · 2017 · The Lancet
- A comparative study of machine learning classifiers for modeling travel mode choiceHagenauer, Julian, Helbich, Marco · 2017 · Expert Systems with Applications
- Evaluation of machine learning algorithms for prediction of regions of high Reynolds averaged Navier Stokes uncertaintyJulia Ling, Jeremy Alan Templeton · 2015 · Physics of Fluids
- Modeling techniques used in building HVAC control systems: A reviewAfroz, Zakia, Shafiullah, GM, Urmee, Tania, Higgins, Gary · 2018 · Renewable and Sustainable Energy Reviews
- Smart energy systems for sustainable smart cities: Current developments, trends and future directionsO’Dwyer, Edward, Pan, Indranil, Acha, Salvador, Shah, Nilay · 2019 · Applied Energy
- Mitigation of Climate Change: Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate ChangeChristian Flachsland · 2015 · OPUS 4 (Zuse Institute Berlin)
- Quantifying the Carbon Emissions of Machine LearningLacoste, Alexandre, Luccioni, Alexandra, Schmidt, Victor, Dandres, Thomas · 2019 · arXiv
- Does Compact Development Make People Drive Less?Mark R. Stevens · 2016 · Journal of the American Planning Association
- Inferring transportation modes from GPS trajectories using a convolutional neural networkDabiri, Sina, Heaslip, Kevin · 2018 · Transportation Research Part C: Emerging Technologies
- Enhanced Weathering: An Effective and Cheap Tool to Sequester Co2Schuiling, R. D., Krijgsman, P. · 2006 · Climatic Change
- Breaking new ground in mapping human settlements from space – The Global Urban FootprintEsch, Thomas, Heldens, Wieke, Hirner, Andreas, Keil, Manfred, Marconcini, Mattia, Roth, Achim, Zeidler, Julian, Dech, Stefan, Strano, Emanuele · 2017 · ISPRS Journal of Photogrammetry and Remote Sensing
- Acoustic emission for in situ quality monitoring in additive manufacturing using spectral convolutional neural networksSergey A. Shevchik, Christoph Kenel, Christian Leinenbach, Kilian Wasmer · 2017 · Additive manufacturing
- Using machine learning algorithms for housing price prediction: The case of Fairfax County, Virginia housing dataPark, Byeonghwa, Bae, Jae Kwon · 2015 · Expert Systems with Applications
- CrisisLex: A Lexicon for Collecting and Filtering Microblogged Communications in CrisesOlteanu, Alexandra, Castillo, Carlos, Diaz, Fernando, Vieweg, Sarah · 2014 · Proceedings of the International AAAI Conference on Web and Social Media
- Amine-modified ordered mesoporous silica: Effect of pore size on carbon dioxide captureVladimı́r Zeleňák, Mária Badaničová, Dáša Halamová, Jiřı́ Čejka, Arnošt Zukal, Nataliya Murafa, G. Goerigk · 2008 · Chemical Engineering Journal
- Earth System Modeling 2.0: A Blueprint for Models That Learn From Observations and Targeted High‐Resolution SimulationsSchneider, Tapio, Lan, Shiwei, Stuart, Andrew, Teixeira, João · 2017 · Geophysical Research Letters
- Big data meet green challenges: big data toward green applicationsWu, Jinsong, Guo, Song, Li, Jie, Zeng, Deze · 2016 · IEEE Systems Journal
- Satellite Image Analysis for Disaster and Crisis-Management SupportVoigt, Stefan, Kemper, Thomas, Riedlinger, Torsten, Kiefl, Ralph, Scholte, Klaas, Mehl, Harald · 2007 · IEEE Transactions on Geoscience and Remote Sensing
- Deep Convolutional Encoder‐Decoder Networks for Uncertainty Quantification of Dynamic Multiphase Flow in Heterogeneous MediaShaoxing Mo, Yinhao Zhu, Nicholas Zabaras, Xiaoqing Shi, Jichun Wu · 2018 · Water Resources Research
- A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep LearningMundhenk, T. Nathan, Konjevod, Goran, Sakla, Wesam A., Boakye, Kofi · 2016 · Lecture Notes in Computer Science
- The Use and Misuse of Models for Climate PolicyRobert S. Pindyck · 2016 · Review of Environmental Economics and Policy
- Carbon price forecasting with a novel hybrid ARIMA and least squares support vector machines methodologyBangzhu Zhu, Yi‐Ming Wei · 2012 · Omega
- On the use of imagery for climate change engagementSaffron J. O’Neill, Maxwell Boykoff, Simon Niemeyer, Sophie A. Day · 2013 · Global Environmental Change
- Advanced Machine Learning Approach for Lithium-Ion Battery State Estimation in Electric VehiclesHu, Xiaosong, Li, Shengbo Eben, Yang, Yalian · 2016 · IEEE Transactions on Transportation Electrification
- Negative emissions physically needed to keep global warming below 2 °CGasser, T., Guivarch, C., Tachiiri, K., Jones, C. D., Ciais, P. · 2015 · Nature Communications
- Climate Change, Habitat Loss, Protected Areas and the Climate Adaptation Potential of Species in Mediterranean Ecosystems WorldwideKirk R. Klausmeyer, M. Rebecca Shaw · 2009 · PLoS ONE
- Improving refugee integration through data-driven algorithmic assignmentKirk C. Bansak, Jeremy Ferwerda, Jens Hainmueller, Andrea Dillon, Dominik Hangartner, Duncan Lawrence, Jeremy M. Weinstein · 2018 · Science
- Predicting disruptive instabilities in controlled fusion plasmas through deep learningKates-Harbeck, Julian, Svyatkovskiy, Alexey, Tang, William · 2019 · Nature
- Physically Interpretable Neural Networks for the Geosciences: Applications to Earth System VariabilityBenjamin A. Toms, Elizabeth A. Barnes, Imme Ebert‐Uphoff · 2020 · Journal of Advances in Modeling Earth Systems
- Technology Roadmap: Biofuels for TransportInternational Energy Agency · 2011 · IEA technology roadmaps
- DeepSolar: A Machine Learning Framework to Efficiently Construct a Solar Deployment Database in the United StatesYu, Jiafan, Wang, Zhecheng, Majumdar, Arun, Rajagopal, Ram · 2018 · Joule
- Amendment to the Montreal Protocol on Substances that Deplete the Ozone Layer (Kigali Amendment)Eric A. Heath · 2017 · International Legal Materials
- Hospital Admissions for Heart DiseaseJoel David Schwartz, Jonathan M. Samet, Jonathan Alan Patz · 2004 · Epidemiology
- Nuclear power, climate change and energy security: Exploring British public attitudesAdam Corner, Dan Venables, Alexa Spence, Wouter Poortinga, Christina Demski, Nick Pidgeon · 2011 · Energy Policy
- Support vector based battery state of charge estimatorHansen, Terry, Wang, Chia-Jiu · 2005 · Journal of Power Sources
- Evolving Understanding of Antarctic Ice‐Sheet Physics and Ambiguity in Probabilistic Sea‐Level ProjectionsKopp, Robert E., DeConto, Robert M., Bader, Daniel A., Hay, Carling C., Horton, Radley M., Kulp, Scott, Oppenheimer, Michael, Pollard, David, Strauss, Benjamin H. · 2017 · Earth's Future
- Overcoming barriers and uncertainties in the adoption of residential solar PVVarun Rai, D. Cale Reeves, Robert Margolis · 2015 · Renewable Energy
- Negative emissions—Part 3: Innovation and upscalingNemet, Gregory F, Callaghan, Max W, Creutzig, Felix, Fuss, Sabine, Hartmann, Jens, Hilaire, Jérôme, Lamb, William F, Minx, Jan C, Rogers, Sophia, Smith, Pete · 2018 · Environmental Research Letters
- Electric Power SystemsAlexandra von Meier · 2006 · Wiley eBooks
- Deep Reinforcement Learning that MattersPeter Henderson, Riashat Islam, Philip Bachman, Joëlle Pineau, Doina Precup, David Meger · 2017 · arXiv (Cornell University)
- Agent-based control for decentralised demand side management in the smart gridSarvapali D. Ramchurn, Perukrishnen Vytelingum, Alex Rogers · 2011 · ePrints Soton (University of Southampton)
- Agent-based modeling of energy technology adoption: Empirical integration of social, behavioral, economic, and environmental factorsRai, Varun, Robinson, Scott A. · 2015 · Environmental Modelling & Software
- Controlling district heating and cooling networks to unlock flexibility: A reviewVandermeulen, Annelies, van der Heijde, Bram, Helsen, Lieve · 2018 · Energy
- An overview of geoengineering of climate using stratospheric sulphate aerosolsRasch, Philip J, Tilmes, Simone, Turco, Richard P, Robock, Alan, Oman, Luke, Chen, Chih-Chieh (Jack), Stenchikov, Georgiy L, Garcia, Rolando R · 2008 · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
- Making Concrete Change Innovation in Low-carbon Cement and ConcreteFelix Preston, Johanna Lehne · 2018
- Energy Disaggregation via Discriminative Sparse CodingJ. Zico Kolter, Siddharth Batra, Andrew Y. Ng · 2010
- On the future of transportation in an era of automated and autonomous vehiclesHancock, P. A., Nourbakhsh, Illah, Stewart, Jack · 2019 · Proceedings of the National Academy of Sciences
- A review on design of experiments and surrogate models in aircraft real-time and many-query aerodynamic analysesYondo, Raul, Andrés, Esther, Valero, Eusebio · 2018 · Progress in Aerospace Sciences
- Towards neural Earth system modelling by integrating artificial intelligence in Earth system scienceIrrgang, Christopher, Boers, Niklas, Sonnewald, Maike, Barnes, Elizabeth A., Kadow, Christopher, Staneva, Joanna, Saynisch-Wagner, Jan · 2021 · Nature Machine Intelligence
- Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regressionZhu, Bangzhu, Han, Dong, Wang, Ping, Wu, Zhanchi, Zhang, Tao, Wei, Yi-Ming · 2017 · Applied Energy
- Anomaly detection in streaming environmental sensor data: A data-driven modeling approachDavid Hill, Barbara Spang Minsker · 2009 · Environmental Modelling & Software
- Ice-sheet mass balance and climate changeEdward Hanna, Francisco Navarro, Frank Pattyn, Catia Motta Domingues, Xavier Fettweis, Erik R. Ivins, Robert James Nicholls, Catherine Ritz, B. E. Smith, Slawek M Tulaczyk et al. · 2013 · Nature
- Accelerating Science with Generative Adversarial Networks: An Application to 3D Particle Showers in Multilayer CalorimetersM. Paganini, Luke de Oliveira, Benjamin Philip Nachman · 2018 · Physical Review Letters
- Integrating Physics-Based Modeling with Machine Learning: A SurveyJared Willard, Xiaowei Jia, Shaoming Xu, Michael S. Steinbach, Vipin Kumar · 2020
- Reducing greenhouse gas emissions through operations and supply chain managementPlambeck, Erica L. · 2012 · Energy Economics
- The CRONOS suite of codes for integrated tokamak modellingJ.F. Artaud, Vladimir A. Basiuk, F. Imbeaux et al. · 2010 · Nuclear Fusion
- Application of Deep Convolutional Neural Networks for Detecting Extreme Weather in Climate DatasetsYunjie Liu, Evan Racah, Prabhat, Joaquin Correa, Amir Khosrowshahi, David A. Lavers, Kenneth E. Kunkel, Michael F. Wehner, William D. Collins · 2016 · arXiv (Cornell University)
- Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patternsTu, Wei, Cao, Jinzhou, Yue, Yang, Shaw, Shih-Lung, Zhou, Meng, Wang, Zhensheng, Chang, Xiaomeng, Xu, Yang, Li, Qingquan · 2017 · International Journal of Geographical Information Science
- Exascale Deep Learning for Climate AnalyticsThorsten Kurth, Sean Treichler, Joshua Romero, Mayur Mudigonda, Nathan Luehr, Everett H. Phillips, Ankur Mahesh, Michael A. Matheson, Jack R. Deslippe, Massimiliano Fatica et al. · 2018 · International Conference for High Performance Computing, Networking, Storage and Analysis (SC)
- Occupancy schedules learning process through a data mining frameworkD’Oca, Simona, Hong, Tianzhen · 2015 · Energy and Buildings
- Climate adaptation, local institutions and rural livelihoodsArun Agrawal, Nicolas Perrin · 2001 · Cambridge University Press eBooks
- Occupant behavior and schedule modeling for building energy simulation through office appliance power consumption data miningZhao, Jie, Lasternas, Bertrand, Lam, Khee Poh, Yun, Ray, Loftness, Vivian · 2014 · Energy and Buildings
- Social-media data for urban sustainabilityIlieva, Rositsa T., McPhearson, Timon · 2018 · Nature Sustainability
- A data-driven predictive model of city-scale energy use in buildingsKontokosta, Constantine E., Tull, Christopher · 2017 · Applied Energy
- Managing Electric Vehicles in the Smart Grid Using Artificial Intelligence: A SurveyRigas, Emmanouil S., Ramchurn, Sarvapali D., Bassiliades, Nick · 2015 · IEEE Transactions on Intelligent Transportation Systems
- Solar Irradiance Forecasting Using Deep Neural NetworksAlzahrani, Ahmad, Shamsi, Pourya, Dagli, Cihan, Ferdowsi, Mehdi · 2017 · Procedia Computer Science
- Evolution of cooperation in stochastic gamesHilbe, Christian, Šimsa, Štěpán, Chatterjee, Krishnendu, Nowak, Martin A. · 2018 · Nature
- Intelligent Packaging Systems: Sensors and Nanosensors to Monitor Food Quality and SafetyGuillermo Fuertes, Ismael Soto, Raúl Carrasco, Manuel Vargas, Jorge Sabattin, Carolina Lagos · 2016 · Journal of Sensors
- Policy design for the AnthropoceneSterner, Thomas, Barbier, Edward B., Bateman, Ian, van den Bijgaart, Inge, Crépin, Anne-Sophie, Edenhofer, Ottmar, Fischer, Carolyn, Habla, Wolfgang, Hassler, John, Johansson-Stenman, Olof et al. · 2019 · Nature Sustainability
- Feasibility of cooling the Earth with a cloud of small spacecraft near the inner Lagrange point (L1)Roger Angel · 2006 · Proceedings of the National Academy of Sciences
- Deep Transfer Learning for Crop Yield Prediction with Remote Sensing DataAnna X. Wang, Caelin Tran, Nikhil Desai, David B. Lobell, Stefano Ermon · 2018 · ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS)
- Urban infrastructure choices structure climate solutionsCreutzig, Felix, Agoston, Peter, Minx, Jan C., Canadell, Josep G., Andrew, Robbie M., Quéré, Corinne Le, Peters, Glen P., Sharifi, Ayyoob, Yamagata, Yoshiki, Dhakal, Shobhakar · 2016 · Nature Climate Change
- Machine Learning for the New York City Power GridCynthia D Rudin, David L. Waltz, R. N. Anderson et al. · 2011 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- Towards energy-aware scheduling in data centers using machine learningBerral, Josep Ll., Goiri, Íñigo, Nou, Ramón, Julià, Ferran, Guitart, Jordi, Gavaldà, Ricard, Torres, Jordi · 2010 · Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking
- Hardware Design of Smart Home Energy Management System With Dynamic Price ResponseHu, Qinran, Li, Fangxing · 2013 · IEEE Transactions on Smart Grid
- Approximate model predictive building control via machine learningDrgoňa, Ján, Picard, Damien, Kvasnica, Michal, Helsen, Lieve · 2018 · Applied Energy
- Intelligent tutoring systems by and for the developing world: a review of trends and approaches for educational technology in a global context.Nye, Benjamin D. · 2015 · International Journal of Artificial Intelligence in Education
- Curses, Tradeoffs, and Scalable Management: Advancing Evolutionary Multiobjective Direct Policy Search to Improve Water Reservoir OperationsMatteo Giuliani, Andrea Francesco Castelletti, Francesca Pianosi, Emanuele Mason, Patrick M. Reed · 2015 · Journal of Water Resources Planning and Management
- End-to-End Differentiable Physics for Learning and ControlFilipe de Avila Belbute-Peres, Kevin A. Smith, Kelsey Rebecca Allen · 2018 · neural information processing systems
- Public microblogging on climate change: One year of Twitter worldwideKirilenko, Andrei P., Stepchenkova, Svetlana O. · 2014 · Global Environmental Change
- A review of electric load classification in smart grid environmentZhou, Kai-le, Yang, Shan-lin, Shen, Chao · 2013 · Renewable and Sustainable Energy Reviews
- Understanding ridesplitting behavior of on-demand ride services: An ensemble learning approachChen, Xiqun (Michael), Zahiri, Majid, Zhang, Shuaichao · 2017 · Transportation Research Part C: Emerging Technologies
- Halving warming with idealized solar geoengineering moderates key climate hazardsIrvine, Peter, Emanuel, Kerry, He, Jie, Horowitz, Larry W., Vecchi, Gabriel, Keith, David · 2019 · Nature Climate Change
- A review of urban computing for mobile phone tracesShan Jiang, Gaston A. Fiore, Yingxiang Yang, Joseph Ferreira, Emilio Frazzoli, Marta C. González · 2013 · ACM SIGKDD International Workshop on Urban Computing (UrbComp)
- Flu Detector - Tracking Epidemics on TwitterVasileios Lampos, Tijl De Bie, Nello Cristianini · 2010 · Lecture notes in computer science
- Differentiable MPC for End-to-end Planning and ControlBrandon Amos, Ivan Dario Jimenez Rodriguez, Jacob Sacks, Byron Boots, J. Zico Kolter · 2018 · arXiv (Cornell University)
- Accelerated Materials Design of Lithium Superionic Conductors Based on First‐Principles Calculations and Machine Learning AlgorithmsFujimura, Koji, Seko, Atsuto, Koyama, Yukinori, Kuwabara, Akihide, Kishida, Ippei, Shitara, Kazuki, Fisher, Craig A. J., Moriwake, Hiroki, Tanaka, Isao · 2013 · Advanced Energy Materials
- Reinforcement Learning for Electric Power System Decision and Control: Past Considerations and PerspectivesGlavic, Mevludin, Fonteneau, Raphaël, Ernst, Damien · 2017 · IFAC-PapersOnLine
- The long-term effect of increasing the albedo of urban areasAkbari, Hashem, Damon Matthews, H, Seto, Donny · 2012 · Environmental Research Letters
- Global satellite monitoring of climate-induced vegetation disturbancesNate G. McDowell, Nicholas C. Coops, Pieter S. A. Beck, Jeffrey Quintin Chambers, Chandana Gangodagamage, Jeffrey A. Hicke, Cho‐ying Huang, Robert E. Kennedy, Daniel Krofcheck, M. E. Litvak et al. · 2014 · Trends in Plant Science
- An overview of the Earth system science of solar geoengineeringIrvine, Peter J., Kravitz, Ben, Lawrence, Mark G., Muri, Helene · 2016 · WIREs Climate Change
- Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial OptimizationBryan Wilder, Bistra Dilkina, Milind Tambe · 2019 · Proceedings of the AAAI Conference on Artificial Intelligence
- LightLearn: An adaptive and occupant centered controller for lighting based on reinforcement learningPark, June Young, Dougherty, Thomas, Fritz, Hagen, Nagy, Zoltan · 2019 · Building and Environment
- Comparison of Machine Learning Algorithms for Retrieval of Water Quality Indicators in Case-II Waters: A Case Study of Hong KongSidrah Hafeez, Man Sing Wong, Hung Chak Ho, Majid Nazeer, Janet Elizabeth Nichol, Sawaid Abbas, Danling Tang, Kwon‐Ho Lee, Lilian Pun · 2019 · Remote Sensing
- A novel multiscale nonlinear ensemble leaning paradigm for carbon price forecastingZhu, Bangzhu, Ye, Shunxin, Wang, Ping, He, Kaijian, Zhang, Tao, Wei, Yi-Ming · 2018 · Energy Economics
- A Review of Greenhouse Gas Emission Factors for Fertiliser Production.Sam Wood, Annette Cowie · 2004 · eCite Digital Repository (University of Tasmania)
- Spatiotemporal traffic forecasting: review and proposed directionsErmagun, Alireza, Levinson, David · 2018 · Transport Reviews
- Soil sensing: A new paradigm for agricultureViscarra Rossel, Raphael A., Bouma, Johan · 2016 · Agricultural Systems
- A hybrid model approach for forecasting future residential electricity consumptionDong, Bing, Li, Zhaoxuan, Rahman, S.M. Mahbobur, Vega, Rolando · 2016 · Energy and Buildings
- Mapping maximum urban air temperature on hot summer daysHung Chak Ho, Anders Jensen Knudby, Paul Sirovyak, Yongming Xu, Matúš Hodúl, Sarah B. Henderson · 2014 · Remote Sensing of Environment
- Machine Learning Applications for Data Center OptimizationJim Gao · 2014
- “Does Compact Development Make People Drive Less?” The Answer Is YesEwing, Reid, Cervero, Robert · 2017 · Journal of the American Planning Association
- Incentivizing Users for Balancing Bike Sharing SystemsAdish Kumar Singla, Marco Santoni, Gábor Bartók · 2015 · Proceedings of the AAAI Conference on Artificial Intelligence
- A Big Data Guide to Understanding Climate Change: The Case for Theory-Guided Data ScienceFaghmous, James H., Kumar, Vipin · 2014 · Big Data
- Surface functionalization and manipulation of mesoporous silica adsorbents for improved removal of pollutants: a reviewVeronica B. Cashin, Daniel S. Eldridge, Aimin Yu, Dongyuan Zhao · 2017 · Environmental Science Water Research & Technology
- Data-driven Urban Energy Simulation (DUE-S): A framework for integrating engineering simulation and machine learning methods in a multi-scale urban energy modeling workflowNutkiewicz, Alex, Yang, Zheng, Jain, Rishee K. · 2018 · Applied Energy
- Evolving Understanding of Antarctic Ice‐Sheet Physics and Ambiguity in Probabilistic Sea‐Level ProjectionsRobert E. Kopp, Robert M. DeConto, Daniel Bader, Carling C. Hay, Radley Horton, Scott Kulp, Michael Oppenheimer, David Pollard, Benjamin Strauss · 2017 · Earth s Future
- An Analysis of Possible Energy Impacts of Automated VehiclesBrown, Austin, Gonder, Jeffrey, Repac, Brittany · 2014 · Lecture Notes in Mobility
- Climate change on Twitter: Content, media ecology and information sharing behaviourVeltri, Giuseppe A., Atanasova, Dimitrinka · 2017 · Public Understanding of Science
- The mutual dependence of negative emission technologies and energy systemsCreutzig, Felix, Breyer, Christian, Hilaire, Jérôme, Minx, Jan, Peters, Glen P., Socolow, Robert · 2019 · Energy & Environmental Science
- The value of day-ahead solar power forecasting improvementCarlo Brancucci, Benjamin Botor, Anthony R. Florita · 2016 · Solar Energy
- Geologic CO2 sequestration monitoring design: A machine learning and uncertainty quantification based approachBailian Chen, Dylan Robert Harp, Youzuo Lin · 2018 · Applied Energy
- Learning Optimal Solutions for Extremely Fast AC Optimal Power FlowZamzam, Ahmed S., Baker, Kyri · 2020 · 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
- Public Health Informatics: Improving and Transforming Public Health in the Information AgeYasnoff, William A., OʼCarroll, Patrick W., Koo, Denise, Linkins, Robert W., Kilbourne, Edwin M. · 2000 · Journal of Public Health Management and Practice
- Machine vision for natural gas methane emissions detection using an infrared cameraWang, Jingfan, Tchapmi, Lyne P., Ravikumar, Arvind P., McGuire, Mike, Bell, Clay S., Zimmerle, Daniel, Savarese, Silvio, Brandt, Adam R. · 2020 · Applied Energy
- Foresee: A user-centric home energy management system for energy efficiency and demand responseJin, Xin, Baker, Kyri, Christensen, Dane, Isley, Steven · 2017 · Applied Energy
- Review of the Remaining Useful Life Prognostics of Vehicle Lithium-Ion Batteries Using Data-Driven MethodologiesWu, Lifeng, Fu, Xiaohui, Guan, Yong · 2016 · Applied Sciences
- Automatic HVAC control with real-time occupancy recognition and simulation-guided model predictive control in low-cost embedded systemAftab, Muhammad, Chen, Chien, Chau, Chi-Kin, Rahwan, Talal · 2017 · Energy and Buildings
- Leveraging Facebook's Advertising Platform to Monitor Stocks of MigrantsEmilio Zagheni, Ingmar G. Weber, Krishna P. Gummadi · 2017 · Population and Development Review
- An air–liquid contactor for large-scale capture of CO2 from airHolmes, Geoffrey, Keith, David W. · 2012 · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
- Automatic detection of solar photovoltaic arrays in high resolution aerial imageryMalof, Jordan M., Bradbury, Kyle, Collins, Leslie M., Newell, Richard G. · 2016 · Applied Energy
- Toward Fast and Accurate Vehicle Detection in Aerial Images Using Coupled Region-Based Convolutional Neural NetworksDeng, Zhipeng, Sun, Hao, Zhou, Shilin, Zhao, Juanping, Zou, Huanxin · 2017 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Machine learning for combinatorial optimization: A methodological tour d'horizonBengio, Yoshua, Lodi, Andrea, Prouvost, Antoine · 2021 · European Journal of Operational Research
- Mortality Risk Score Prediction in an Elderly Population Using Machine LearningRose, Sherri · 2013 · American Journal of Epidemiology
- Learning to Solve Large-Scale Security-Constrained Unit Commitment ProblemsÁlinson Santos Xavier, Feng Qiu, Shabbir Ahmed · 2020 · INFORMS journal on computing
- Climate impacts of geoengineering marine stratocumulus cloudsJones, Andy, Haywood, Jim, Boucher, Olivier · 2009 · Journal of Geophysical Research: Atmospheres
- Road traffic congestion in the developing worldVipin Jain, Ashlesh Sharma, Lakshminarayanan Subramanian · 2012 · ACM Symposium on Computing for Development (ACM DEV)
- Internet of Things: Energy boon or bane?Hittinger, Eric, Jaramillo, Paulina · 2019 · Science
- Machine learning for solar irradiance forecasting of photovoltaic systemLi, Jiaming, Ward, John K., Tong, Jingnan, Collins, Lyle, Platt, Glenn · 2016 · Renewable Energy
- A Generative Model of Urban Activities from Cellular DataYin, Mogeng, Sheehan, Madeleine, Feygin, Sidney, Paiement, Jean-Francois, Pozdnoukhov, Alexei · 2018 · IEEE Transactions on Intelligent Transportation Systems
- The roles of users in electric, shared and automated mobility transitionsAxsen, Jonn, Sovacool, Benjamin K. · 2019 · Transportation Research Part D: Transport and Environment
- How Do We Model Learning at Scale? A Systematic Review of Research on MOOCsJoksimović, Srećko, Poquet, Oleksandra, Kovanović, Vitomir, Dowell, Nia, Mills, Caitlin, Gašević, Dragan, Dawson, Shane, Graesser, Arthur C., Brooks, Christopher · 2018 · Review of Educational Research
- Optimization of Process Parameters for Powder Bed Fusion Additive Manufacturing by Combination of Machine Learning and Finite Element Method: A Conceptual FrameworkBaturynska, Ivanna, Semeniuta, Oleksandr, Martinsen, Kristian · 2018 · Procedia CIRP
- A typology of street patternsLouf, Rémi, Barthelemy, Marc · 2014 · Journal of The Royal Society Interface
- Deep belief network based ensemble approach for cooling load forecasting of air-conditioning systemFu, Guoyin · 2018 · Energy
- Analysis and forecasting of the carbon price using multi—resolution singular value decomposition and extreme learning machine optimized by adaptive whale optimization algorithmSun, Wei, Zhang, Chongchong · 2018 · Applied Energy
- New Potentials for Data‐Driven Intelligent Tutoring System Development and OptimizationKoedinger, Kenneth R., Brunskill, Emma, Baker, Ryan S. J. d., McLaughlin, Elizabeth A., Stamper, John · 2013 · AI Magazine
- Reinforcement-Learning-Based Intelligent Maximum Power Point Tracking Control for Wind Energy Conversion SystemsWei, Chun, Zhang, Zhe, Qiao, Wei, Qu, Liyan · 2015 · IEEE Transactions on Industrial Electronics
- Quantifying Forest Biomass Carbon Stocks From SpaceRodríguez-Veiga, Pedro, Wheeler, James, Louis, Valentin, Tansey, Kevin, Balzter, Heiko · 2017 · Current Forestry Reports
- Combating deforestation: From satellite to interventionFiner, Matt, Novoa, Sidney, Weisse, Mikaela J., Petersen, Rachael, Mascaro, Joseph, Souto, Tamia, Stearns, Forest, Martinez, Raúl García · 2018 · Science
- Grading buildings on energy performance using city benchmarking dataPapadopoulos, Sokratis, Kontokosta, Constantine E. · 2019 · Applied Energy
- Empirically grounded agent-based models of innovation diffusion: a critical reviewHaifeng Zhang, Yevgeniy Vorobeychik · 2017 · Artificial Intelligence Review
- Agent-Based ModelsScott de Marchi, Scott E. Page · 2014 · Annual Review of Political Science
- Cost analysis of stratospheric albedo modification delivery systemsMcClellan, Justin, Keith, David W, Apt, Jay · 2012 · Environmental Research Letters
- Track geometry degradation and maintenance modelling: A reviewSoleimanmeigouni, Iman, Ahmadi, Alireza, Kumar, Uday · 2018 · Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit
- Unsupervised energy prediction in a Smart Grid context using reinforcement cross-building transfer learningMocanu, Elena, Nguyen, Phuong H., Kling, Wil L., Gibescu, Madeleine · 2016 · Energy and Buildings
- Storm-Based Probabilistic Hail Forecasting with Machine Learning Applied to Convection-Allowing EnsemblesGagne, David John, McGovern, Amy, Haupt, Sue Ellen, Sobash, Ryan A., Williams, John K., Xue, Ming · 2017 · Weather and Forecasting
- Solar PV output prediction from video streams using convolutional neural networksSun, Yuchi, Szűcs, Gergely, Brandt, Adam R. · 2018 · Energy & Environmental Science
- Energy use in buildings in a long-term perspectiveUrge-Vorsatz, Diana, Petrichenko, Ksenia, Staniec, Maja, Eom, Jiyong · 2013 · Current Opinion in Environmental Sustainability
- A Reinforcement Learning Model to Assess Market Power Under Auction-Based Energy PricingNanduri, Vishnuteja, Das, Tapas K. · 2007 · IEEE Transactions on Power Systems
- The Risk of Termination Shock From Solar GeoengineeringParker, Andy, Irvine, Peter J. · 2018 · Earth's Future
- Inferring patterns of internal migration from mobile phone call records: evidence from RwandaJoshua Evan Blumenstock · 2012 · Information Technology for Development
- Decarbonizing intraregional freight systems with a focus on modal shiftKaack, Lynn H, Vaishnav, Parth, Morgan, M Granger, Azevedo, Inês L, Rai, Srijana · 2018 · Environmental Research Letters
- Ethics and geoengineering: reviewing the moral issues raised by solar radiation management and carbon dioxide removalPreston, Christopher J. · 2013 · WIREs Climate Change
- Greening the food supply chain: an optimisation model for sustainable design of refrigerated automated warehousesMeneghetti, Antonella, Monti, Luca · 2015 · International Journal of Production Research
- Generating 3D city models without elevation dataBiljecki, Filip, Ledoux, Hugo, Stoter, Jantien · 2017 · Computers, Environment and Urban Systems
- Deep IV:A flexible approach for counterfactual predictionJason Hartford, Greg Lewis, Kevin Leyton‐Brown, Matt A. Taddy · 2017 · Research Explorer (The University of Manchester)
- Learning about urban climate solutions from case studiesLamb, William F., Creutzig, Felix, Callaghan, Max W., Minx, Jan C. · 2019 · Nature Climate Change
- (Deep) Reinforcement learning for electric power system control and related problems: A short review and perspectivesGlavic, Mevludin · 2019 · Annual Reviews in Control
- Data-Driven Local Control Design for Active Distribution Grids Using Off-Line Optimal Power Flow and Machine Learning TechniquesKaragiannopoulos, Stavros, Aristidou, Petros, Hug, Gabriela · 2019 · IEEE Transactions on Smart Grid
- Automated Information Transformation for Automated Regulatory Compliance Checking in ConstructionJiansong Zhang, Nora El-Gohary · 2015 · Journal of Computing in Civil Engineering
- Spatio-temporal downscaling of gridded crop model yield estimates based on machine learningFolberth, C., Baklanov, A., Balkovič, J., Skalský, R., Khabarov, N., Obersteiner, M. · 2019 · Agricultural and Forest Meteorology
- Climate Change Education and the Ecological FootprintCordero, Eugene C., Todd, Anne Marie, Abellera, Diana · 2008 · Bulletin of the American Meteorological Society
- Machine learning for geographically differentiated climate change mitigation in urban areasNikola Milojevic-Dupont, Felix Creutzig · 2020 · Sustainable Cities and Society
- Estimating global agricultural effects of geoengineering using volcanic eruptionsProctor, Jonathan, Hsiang, Solomon, Burney, Jennifer, Burke, Marshall, Schlenker, Wolfram · 2018 · Nature
- Towards probabilistic projections of climate change impacts on global crop yieldsClaudia Tebaldi, David B. Lobell · 2008 · Geophysical Research Letters
- Cake cutting: not just child's playProcaccia, Ariel D. · 2013 · Communications of the ACM
- Creating xBD: A Dataset for Assessing Building Damage from Satellite ImageryRitwik Gupta, Bryce Goodman, Nirav N. Patel · 2019 · Figshare
- The Devil is in the Tails: Fine-grained Classification in the WildGrant Van Horn, Pietro Perona · 2017 · arXiv (Cornell University)
- Untitled work2016 · Thammasat University Digital Collections
- Learning about climate change uncertainty enables flexible water infrastructure planningSarah Marie Fletcher, Megan Jeramaz Lickley, Kenneth Marc Strzepek · 2019 · Nature Communications
- Real-time physics-model-based simulation of the current density profile in tokamak plasmasFederico Felici, O. Sauter, S. Coda · 2011 · Nuclear Fusion
- Technical and Economic Aspects of Load Following with Nuclear Power PlantsOECD, Nuclear Energy Agency · 2021 · Nuclear Development
- Predicting Travel Mode of Individuals by Machine LearningOmrani, Hichem · 2015 · Transportation Research Procedia
- Flow: Architecture and Benchmarking for Reinforcement Learning in Traffic Control.Cathy Wu, Aboudy Kreidieh, Kanaad Parvate, Eugene Vinitsky, Alexandre M. Bayen · 2017 · arXiv (Cornell University)
- Rebalancing shared mobility-on-demand systems: A reinforcement learning approachWen, Jian, Zhao, Jinhua, Jaillet, Patrick · 2017 · 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC)
- Proactive vehicle routing with inferred demand to solve the bikesharing rebalancing problemRegue, Robert, Recker, Will · 2014 · Transportation Research Part E: Logistics and Transportation Review
- Twenty-Seven Ways a Heat Wave Can Kill You: Deadly Heat in the Era of Climate ChangeMora, Camilo, Counsell, Chelsie W.W., Bielecki, Coral R., Louis, Leo V · 2017 · Circulation: Cardiovascular Quality and Outcomes
- Intelligent system for lighting control in smart citiesDe Paz, Juan F., Bajo, Javier, Rodríguez, Sara, Villarrubia, Gabriel, Corchado, Juan M. · 2016 · Information Sciences
- A deep learning and gamification approach to improving human-building interaction and energy efficiency in smart infrastructureIoannis C. Konstantakopoulos, Andrew R. Barkan, Shiying He, Tanya Veeravalli, Huihan Liu, Costas J. Spanos · 2019 · Applied Energy
- Artificial neural networks in microgrids: A reviewTania B. López-García, Alberto Coronado Mendoza, Jose Antonio Dominguez-Navarro · 2020 · Engineering Applications of Artificial Intelligence
- Decision support system for the sustainable forest managementVarma, Vivek K., Ferguson, Ian, Wild, Ian · 2000 · Forest Ecology and Management
- Evaluation of Machine Learning Algorithms in Spatial Downscaling of MODIS Land Surface TemperatureLi, Wan, Ni, Li, Li, Zhao-Liang, Duan, Si-Bo, Wu, Hua · 2019 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Consumer End-Use Energy Efficiency and Rebound EffectsAzevedo, Inês M.L. · 2014 · Annual Review of Environment and Resources
- Open digital mapping as a cost-effective method for mapping peat thickness and assessing the carbon stock of tropical peatlandsRudiyanto, Minasny, Budiman, Setiawan, Budi Indra, Saptomo, Satyanto Krido, McBratney, Alex B. · 2018 · Geoderma
- DreamSketch: Early Stage 3D Design Explorations with Sketching and Generative DesignKazi, Rubaiat Habib, Grossman, Tovi, Cheong, Hyunmin, Hashemi, Ali, Fitzmaurice, George · 2017 · Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology
- ASTRA. An Automatic System for Transport Analysis in a Tokamak.G. V. Pereverzew, P. N. Yushmanov, A. Yu. Dnestrovskii · 1991 · Max Planck Institute for Plasma Physics
- Fast Deep Vehicle Detection in Aerial ImagesSommer, Lars Wilko, Schuchert, Tobias, Beyerer, Jurgen · 2017 · 2017 IEEE Winter Conference on Applications of Computer Vision (WACV)
- Another 25 Years of AIED? Challenges and Opportunities for Intelligent Educational Technologies of the FutureNiels Pinkwart C · 2016 · International Journal of Artificial Intelligence in Education
- Fault detection and diagnosis of chillers using Bayesian network merged distance rejection and multi-source non-sensor informationWang, Zhanwei, Wang, Zhiwei, He, Suowei, Gu, Xiaowei, Yan, Zeng Feng · 2017 · Applied Energy
- Tokamak disruption alarm based on a neural network model of the high- beta limitWroblewski, D, Jahns, G.L, Leuer, J.A · 1997 · Nuclear Fusion
- Climate research must sharpen its viewJochem Marotzke, Christian Jakob, Sandrine Bony et al. · 2017 · Nature Climate Change
- Big data analytics for mitigating carbon emissions in smart cities: opportunities and challengesSarah N. Giest · 2017 · European Planning Studies
- Evaluation of the impacts of refrigerant charge on air conditioner and heat pump performanceKim, Woohyun, Braun, James E. · 2012 · International Journal of Refrigeration
- Towards Optimal Power Management of Hybrid Electric Vehicles in Real-Time: A Review on Methods, Challenges, and State-Of-The-Art SolutionsAli, Ahmed, Söffker, Dirk · 2018 · Energies
- A survey of machine learning techniques for food sales predictionTsoumakas, Grigorios · 2019 · Artificial Intelligence Review
- Prediction intervals to account for uncertainties in neural network predictions: Methodology and application in bus travel time predictionMazloumi, Ehsan, Rose, Geoff, Currie, Graham, Moridpour, Sara · 2011 · Engineering Applications of Artificial Intelligence