Tackling climate change with machine learning

Cites (806)

Items 601–800 of 806

1. Modelling the Effect of Driving Events on Electrical Vehicle Energy Consumption Using Inertial Sensors in Smartphones
   Jiménez, David, Hernández, Sara, Fraile-Ardanuy, Jesús, Serrano, Javier, Fernández, Rubén, Álvarez, Federico · 2018 · Energies
2. Intelligent and Energy-Efficient Data Prioritization in Green Smart Cities: Current Challenges and Future Directions
   Muhammad, Khan, Lloret, Jaime, Baik, Sung Wook · 2019 · IEEE Communications Magazine
3. Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks
   Victor M. Schmidt, Alexandra Sasha Luccioni, Surya Karthik Mukkavilli, Narmada Balasooriya, Kris Sankaran, Jennifer Chayes, Yoshua Bengio · 2019 · arXiv (Cornell University)
4. Deep neural networks-based vehicle detection in satellite images
   Jiang, Qiling, Cao, Liujuan, Cheng, Ming, Wang, Cheng, Li, Jonathan · 2015 · 2015 International Symposium on Bioelectronics and Bioinformatics (ISBB)
5. Bayesian optimization for maximum power point tracking in photovoltaic power plants
   Abdelrahman, Hany, Berkenkamp, Felix, Poland, Jan, Krause, Andreas · 2016 · 2016 European Control Conference (ECC)
6. Achievement of Sustained Net Plasma Heating in a Fusion Experiment with the Optometrist Algorithm
   Edward A. Baltz, E. Trask, Michl W. Binderbauer, M. Dikovsky, Hiroshi GOTA, R. Mendoza, John C. Platt, Patrick F. Riley · 2017 · Scientific Reports
7. Automated Blood Smear Analysis for Mobile Malaria Diagnosis
   Walter Karlen · 2018 · CRC Press eBooks
8. Applying machine learning to estimate the optical properties of black carbon fractal aggregates
   Luo, Jie, Zhang, Yongming, Wang, Feng, Wang, Jinjun, Zhang, Qixing · 2018 · Journal of Quantitative Spectroscopy and Radiative Transfer
9. Remote Sensing-Based Characterization of Settlement Structures for Assessing Local Potential of District Heat
   Geiß, Christian, Taubenböck, Hannes, Wurm, Michael, Esch, Thomas, Nast, Michael, Schillings, Christoph, Blaschke, Thomas · 2011 · Remote Sensing
10. Land cover change detection: a case study
    Boriah, Shyam, Kumar, Vipin, Steinbach, Michael, Potter, Christopher, Klooster, Steven · 2008 · Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
11. Fuel prices and the invention crowding out effect: Releasing the automotive industry from its dependence on fossil fuel
    Barbieri, Nicolò · 2016 · Technological Forecasting and Social Change
12. Empirical prediction intervals improve energy forecasting
    Kaack, Lynn H., Apt, Jay, Morgan, M. Granger, McSharry, Patrick · 2017 · Proceedings of the National Academy of Sciences
13. Integrated assessment models for climate change control
    David L. Kelly, Charles D. Kolstad · 1999 · Edward Elgar Publishing eBooks
14. Terrestrial vegetation dynamics and global climate controls
    Potter, Christopher, Boriah, Shyam, Steinbach, Michael, Kumar, Vipin, Klooster, Steven · 2008 · Climate Dynamics
15. Improving Design Preference Prediction Accuracy Using Feature Learning
    Burnap, Alex, Pan, Yanxin, Liu, Ye, Ren, Yi, Lee, Honglak, Gonzalez, Richard, Papalambros, Panos Y. · 2016 · Journal of Mechanical Design
16. A visual segmentation method for temporal smart card data
    Ghaemi, Mohammad Sajjad, Agard, Bruno, Trépanier, Martin, Partovi Nia, Vahid · 2017 · Transportmetrica A: Transport Science
17. Time Series-Based GHG Emissions Prediction for Smart Homes
    Riekstin, Ana Carolina, Langevin, Antoine, Dandres, Thomas, Gagnon, Ghyslain, Cheriet, Mohamed · 2020 · IEEE Transactions on Sustainable Computing
18. Machine learning to analyze the social-ecological impacts of natural resource policy: insights from community forest management in the Indian Himalaya
    Rana, Pushpendra, Miller, Daniel C · 2019 · Environmental Research Letters
19. Voltage estimation in active distribution grids using neural networks
    Michael Pertl, Kai Heussen, Oliver Gehrke · 2016 · IEEE Power and Energy Society General Meeting (PESGM)
20. Building energy retrofit index for policy making and decision support at regional and national scales
    Khayatian, Fazel, Sarto, Luca, Dall'O', Giuliano · 2017 · Applied Energy
21. Artificial Neural Network control of thermoelectrically-cooled microfluidics using computer vision based on IR thermography
    Rizkin, Benjamin A., Popovich, Karina, Hartman, Ryan L. · 2019 · Computers & Chemical Engineering
22. Multi-Parametric Analysis of Reliability and Energy Consumption in IoT: A Deep Learning Approach
    Ateeq, Muhammad, Ishmanov, Farruh, Afzal, Muhammad Khalil, Naeem, Muhammad · 2019 · Sensors
23. A Process Study on Thinning of Arctic Winter Cirrus Clouds With High‐Resolution ICON‐ART Simulations
    Simon Gruber, Ulrich Blahak, Florian Haenel, Christoph Kottmeier, Thomas Leisner, Harel B. Muskatel, Trude Storelvmo, Bernhard Vogel · 2019 · Journal of Geophysical Research Atmospheres
24. Machine Learning from Schools about Energy Efficiency
    Burlig, Fiona, Knittel, Christopher, Rapson, David, Reguant, Mar, Wolfram, Catherine · 2017
25. Ensemble approach for time series analysis in demand forecasting: Ensemble learning
    Akyuz, A. Okay, Uysal, Mitat, Bulbul, Berna Atak, Uysal, M. Ozan · 2017 · 2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA)
26. Introducing machine learning for power system operation support
    Benjamin Donnot, Isabelle Guyon, Marc Schoenauer · 2017 · arXiv (Cornell University)
27. Unsupervised WiFi-Enabled IoT Device-User Association for Personalized Location-Based Service
    Zou, Han, Zhou, Yuxun, Yang, Jianfei, Spanos, Costas J. · 2019 · IEEE Internet of Things Journal
28. A Large-Scale Study on Predicting and Contextualizing Building Energy Usage
    J. Zico Kolter, Joseph Ferreira · 2011 · Proceedings of the AAAI Conference on Artificial Intelligence
29. Production of Sulfates Onboard an Aircraft: Implications for the Cost and Feasibility of Stratospheric Solar Geoengineering
    Smith, Jordan P., Dykema, John A., Keith, David W. · 2018 · Earth and Space Science
30. Machine Learning in Control Systems: An Overview of the State of the Art
    Moe, Signe, Rustad, Anne Marthine, Hanssen, Kristian G. · 2018 · Lecture Notes in Computer Science
31. CRYSTAL: a multi-agent AI system for automated mapping of materials’ crystal structures
    Carla Pedro Gomes, Junwen Bai, Yexiang Xue, Johan Björck, Brendan Rappazzo, Sebastian Ament, Richard Bernstein, Shufeng Kong, Santosh K. Suram, Robert Bruce Van Dover et al. · 2019 · MRS Communications
32. Reinforcement Learning for Fair Dynamic Pricing
    Maestre, Roberto, Duque, Juan, Rubio, Alberto, Arevalo, Juan · 2019 · Advances in Intelligent Systems and Computing
33. Human Computation for Disaster Response
    Meier, Patrick · 2013 · Handbook of Human Computation
34. Multi-objective optimization of steam power plants for sustainable generation of electricity
    César G. Gutiérrez-Arriaga, Medardo Serna‐González, José María Ponce‐Ortega · 2012 · Clean Technologies and Environmental Policy
35. Model predictive control of industrial loads and energy storage for demand response
    Xiao Zhang, Gabriela Hug, J. Zico Kolter · 2016 · IEEE Power and Energy Society General Meeting (PESGM)
36. Segmenting Residential Smart Meter Data for Short-Term Load Forecasting
    Alexander Kell, Andrew Stephen McGough, Matthew Forshaw · 2018 · International Conference on Future Energy Systems
37. Supporting energy technology deployment while avoiding unintended technological lock-in: a policy design perspective
    Haelg, Leonore, Waelchli, Marius, Schmidt, Tobias S · 2018 · Environmental Research Letters
38. Estimating Food Consumption and Poverty Indices with Mobile Phone Data
    Adeline Decuyper, Alex Rutherford, Amit Wadhwa · 2014 · arXiv (Cornell University)
39. Avicaching: A Two Stage Game for Bias Reduction in Citizen Science
    Yexiang Xue, Ian Davies, Daniel Fink, Christopher Wood, Carla Pedro Gomes · 2016 · Adaptive Agents and Multi-Agents Systems
40. Designing Conversational Agents for Energy Feedback
    Ulrich Gnewuch, Stefan Morana, Carl Simon Heckmann, Alexander Maedche · 2018 · Lecture notes in computer science
41. An Agent-Based Simulation of Smart Metering Technology Adoption
    Zhang, Tao, Nuttall, William J. · 2012 · International Journal of Agent Technologies and Systems
42. Energy-saving implications from supply chain improvement: An exploratory study on China's consumer goods retail system
    Wang, Xi, Cai, Hua, Florig, H. Keith · 2016 · Energy Policy
43. Governing Micro-Mobility: A Nationwide Assessment of Electric Scooter Regulations
    Kirstin Anderson-Hall, Brandon Bordenkircher, Riley O'Neil · 2019 · Transportation Research Board 98th Annual MeetingTransportation Research Board
44. The State of Industrial Robotics: Emerging Technologies, Challenges, and Key Research Directions
    Lindsay Sanneman, Christopher K. Fourie, Julie Shah · 2021
45. Automated Identification of Climate Risk Disclosures in Annual Corporate Reports
    David Friederich, Lynn H. Kaack, Alexandra Sasha Luccioni, Bjarne Steffen · 2021 · RePEc: Research Papers in Economics
46. The reference electrification model : a computer model for planning rural electricity access
    Douglas Ellman · 2015
47. Taxi Time Prediction at Charlotte Airport Using Fast-Time Simulation and Machine Learning Techniques
    Lee, Hanbong, Malik, Waqar, Zhang, Bo, Nagarajan, Balaji, Jung, Yoon C. · 2015 · 15th AIAA Aviation Technology, Integration, and Operations Conference
48. Householders’ Mental Models of Domestic Energy Consumption: Using a Sort-And-Cluster Method to Identify Shared Concepts of Appliance Similarity
    Gabe-Thomas, Elizabeth, Walker, Ian, Verplanken, Bas, Shaddick, Gavin · 2016 · PLOS ONE
49. Computational Tools for the Integrated Design of Advanced Nuclear Reactors
    Nicholas W. Touran, J.R. Gilleland, Graham T. Malmgren · 2017 · Engineering
50. Finite-Data Performance Guarantees for the Output-Feedback Control of an Unknown System
    Boczar, Ross, Matni, Nikolai, Recht, Benjamin · 2018 · 2018 IEEE Conference on Decision and Control (CDC)
51. Machine learning in ecosystem informatics and sustainability
    Thomas G. Dietterich · 2009
52. Are the impacts of land use on warming underestimated in climate policy?
    Mahowald, Natalie M, Ward, Daniel S, Doney, Scott C, Hess, Peter G, Randerson, James T · 2017 · Environmental Research Letters
53. Exploring the diffusion of low-energy houses: An empirical study in the European Union
    Olsthoorn, Mark, Schleich, Joachim, Faure, Corinne · 2019 · Energy Policy
54. Using Satellite and Aerial Imagery for Identification of Solar PV: State of the Art and Research Opportunities
    de Hoog, Julian, Maetschke, Stefan, Ilfrich, Peter, Kolluri, Ramachandra Rao · 2020 · Proceedings of the Eleventh ACM International Conference on Future Energy Systems
55. Computational Sustainability and Artificial Intelligence in the Developing World
    Quinn, John, Frias‐Martinez, Vanessa, Subramanian, Lakshminarayan · 2014 · AI Magazine
56. A Stochastic Game Approach for Modeling Wholesale Energy Bidding in Deregulated Power Markets
    Ragupathi, R., Das, T.K. · 2004 · IEEE Transactions on Power Systems
57. Developing High-Resolution Descriptions of Urban Heat Islands: A Public Health Imperative
    Voelkel, Jackson, Shandas, Vivek, Haggerty, Brendon · 2016 · Preventing Chronic Disease
58. Real-Time Energy Disaggregation of a Distribution Feeder's Demand Using Online Learning
    Gregory S. Ledva, Laura Balzano, Johanna L. Mathieu · 2018 · IEEE Transactions on Power Systems
59. Climate Change: What Everyone Needs to Know®
    Joseph J. Romm · 2015
60. Predicting winning and losing businesses when changing electricity tariffs
    Granell, Ramon, Axon, Colin J., Wallom, David C.H. · 2014 · Applied Energy
61. Very‐Large‐Scale Generalized Combinatorial Multi‐Attribute Auctions
    Tüomas Sandholm · 2013 · Oxford University Press eBooks
62. Interactive online machine learning approach for activity-travel survey
    Toru Seo, Takahiko Kusakabe, Hiroto Gotoh · 2017 · Transportation Research Part B Methodological
63. SolarClique
    Srinivasan Iyengar, Stephen Lee, Daniel R. Sheldon · 2018 · ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS)
64. Bootstrapping Parameter Space Exploration for Fast Tuning
    Jayaraman J. Thiagarajan, Nikhil Jain, Rushil Anirudh · 2018 · International Conference on Supercomputing
65. Investigating carbon tax pilot in YRD urban agglomerations—Analysis of a novel ESER system with carbon tax constraints and its application
    Fang, Guochang, Tian, Lixin, Fu, Min, Sun, Mei, Du, Ruijin, Liu, Menghe · 2017 · Applied Energy
66. Deep Learning Techniques for Agronomy Applications
    Chen, Chi-Hua, Kung, Hsu-Yang, Hwang, Feng-Jang · 2019 · Agronomy
67. Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods
    Fioretto, Ferdinando, Mak, Terrence W.K., Van Hentenryck, Pascal · 2020 · Proceedings of the AAAI Conference on Artificial Intelligence
68. Predictive segmentation of energy consumers
    Albert, Adrian, Maasoumy, Mehdi · 2016 · Applied Energy
69. Multi Objective Optimization for Sustainable Manufacturing, Application in Turning
    Hassine, H., Barkallah, M., Bellacicco, A. · 2015 · International Journal of Simulation Modelling
70. A Model Based on Deep Learning for Predicting Travel Mode Choice
    Daisik Nam, Hyunmyung Kim, Jaewoo Cho · 2017 · Transportation Research Board 96th Annual MeetingTransportation Research Board
71. Intrinsic Social Motivation via Causal Influence in Multi-Agent RL
    Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Çağlar Gülçehre, Pedro A. Ortega, DJ Strouse, Joel Z. Leibo, Nando de Freitas · 2018
72. Unintended Effects of Residential Energy Storage on Emissions from the Electric Power System
    Oytun Babacan, Ahmed Abdulla, Ryan Hanna · 2018 · Environmental Science & Technology
73. Decay radius of climate decision for solar panels in the city of Fresno, USA
    Barton-Henry, Kelsey, Wenz, Leonie, Levermann, Anders · 2021 · Scientific Reports
74. Global Climate Model Tracking Using Geospatial Neighborhoods
    Scott McQuade, Claire Monteleoni · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
75. Annual Average Daily Traffic Estimation from Seasonal Traffic Counts
    Gastaldi, Massimiliano, Rossi, Riccardo, Gecchele, Gregorio, Lucia, Luca Della · 2013 · Procedia - Social and Behavioral Sciences
76. Decision making in urban forestry by using approval voting and multicriteria approval method (case study: Zvezdarska forest, Belgrade, Serbia)
    Lakicevic, Milena, Srdjevic, Zorica, Srdjevic, Bojan, Zlatic, Miodrag · 2014 · Urban Forestry & Urban Greening
77. Innovation as response to emissions legislation: revisiting the automotive catalytic converter at Johnson Matthey
    Tao, Lan, Garnsey, Elizabeth, Probert, David, Ridgman, Tom · 2010 · R&D Management
78. Evaluating the Potential of Platooning in Lowering the Required Performance Metrics of Li-Ion Batteries to Enable Practical Electric Semi-Trucks
    Guttenberg, Matthew, Sripad, Shashank, Viswanathan, Venkatasubramanian · 2017 · ACS Energy Letters
79. Detection of Methane Plumes Using Airborne Midwave Infrared (3–5 µm) Hyperspectral Data
    Scafutto, Rebecca Del’ Papa Moreira, De Souza Filho, Carlos Roberto · 2018 · Remote Sensing
80. Climate Change and Power Security: Power Load Prediction for Rural Electrical Microgrids Using Long Short Term Memory and Artificial Neural Networks
    Martin Cenek, Rocco Haro, Brandon Sayers, Jifeng Peng · 2018 · Applied Sciences
81. Artificial Intelligence in Geoscience and Remote Sensing
    David A. John · 2010 · InTech eBooks
82. Machine vision analysis of the energy efficiency of intermodal freight trains
    Lai, Y-C, Barkan, C P L, Drapa, J, Ahuja, N, Hart, J M, Narayanan, P J, Jawahar, C V, Kumar, A, Milhon, L R, Stehly, M P · 2007 · Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit
83. A two‐stage forecasting approach for short‐term intermodal freight prediction
    Moscoso‐López, José Antonio, Turias, Ignacio, Jiménez‐Come, Maria Jesús, Ruiz‐Aguilar, Juan Jesús, Cerbán, María del Mar · 2019 · International Transactions in Operational Research
84. Nowcasting commodity prices using social media
    Kim, Jaewoo, Cha, Meeyoung, Lee, Jong Gun · 2017 · PeerJ Computer Science
85. Learning with Weak Supervision from Physics and Data‐Driven Constraints
    Hongyu Ren, Russell Stewart, Jiaming Song · 2018 · AI Magazine
86. Phase‐Mapper: Accelerating Materials Discovery with AI
    Bai, Junwen, Xue, Yexiang, Bjorck, Johan, Bras, Ronan Le, Rappazzo, Brendan, Bernstein, Richard, Suram, Santosh K., van Dover, R. Bruce, Gregoire, John M., Gomes, Carla P. · 2018 · AI Magazine
87. Design and development of reverse osmosis (RO) plant status monitoring system for early fault prediction and predictive maintenance
    Satyam Srivastava, Saikrishna Vaddadi, Pankaj Kumar · 2018 · Applied Water Science
88. Evolutionary model discovery of causal factors behind the socio-agricultural behavior of the Ancestral Pueblo
    Chathika Gunaratne, Ivan I. Garibay · 2020 · PLoS ONE
89. Robots in Space: Sharing the Sidewalk with Autonomous Delivery Vehicles
    Marks, Mason · 2019
90. Hypothesis Transfer Learning for Efficient Data Computing in Smart Cities Environments
    Valerio, Lorenzo, Passarella, Andrea, Conti, Marco · 2016 · 2016 IEEE International Conference on Smart Computing (SMARTCOMP)
91. Truck traffic monitoring with satellite images
    Kaack, Lynn H., Chen, George H., Morgan, M. Granger · 2019 · Proceedings of the 2nd ACM SIGCAS Conference on Computing and Sustainable Societies
92. Data-driven Control Design Schemes in Active Distribution Grids: Capabilities and Challenges
    Karagiannopoulos, Stavros, Dobbe, Roel, Aristidou, Petros, Callaway, Duncan, Hug, Gabriela · 2019 · 2019 IEEE Milan PowerTech
93. Who Profits from Industry 4.0? Theory and Evidence from the Automotive Industry
    Susan R. Helper, Raphael Martins, Robert Seamans · 2019 · SSRN Electronic Journal
94. Load Shifting Agents for Automated Demand Side Management in Micro Energy Grids
    Deindl, Matthias, Block, Carsten, Vahidov, Rustam, Neumann, Dirk · 2008 · 2008 Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems
95. Finance and climate
    Jean Boissinot, Doryane Huber, Gildas Lamé · 2015 · OECD Journal Financial Market Trends
96. Efficiently Approximating the Pareto Frontier: Hydropower Dam Placement in the Amazon Basin
    Xiaojian Wu, Jonathan M. Gomes-Selman, Qinru Shi, Yexiang Xue, Roosevelt García‐Villacorta, Elizabeth P. Anderson, Suresh A. Sethi, Scott Steinschneider, Alexander S. Flecker, Carla Pedro Gomes · 2018 · Proceedings of the AAAI Conference on Artificial Intelligence
97. ML for Flood Forecasting at Scale
    Nevo, Sella, Anisimov, Vova, Elidan, Gal, El-Yaniv, Ran, Giencke, Pete, Gigi, Yotam, Hassidim, Avinatan, Moshe, Zach, Schlesinger, Mor, Shalev, Guy et al. · 2019 · arXiv
98. <i>Future delta 2.0</i> an experiential learning context for a serious game about local climate change
    Angel, Jeannette, LaValle, Alicia, Iype, Deepti Mathew, Sheppard, Stephen, Dulic, Aleksandra · 2015 · SIGGRAPH Asia 2015 Symposium on Education
99. Short-term distribution system state forecast based on optimal synchrophasor sensor placement and extreme learning machine
    Huaiguang Jiang, Yingchen Y.C. Zhang · 2016 · IEEE Power and Energy Society General Meeting (PESGM)
100. ANN-based algorithm for estimation and compensation of lateral misalignment in dynamic wireless power transfer systems for EV charging
     Tavakoli, Reza, Pantic, Zeljko · 2017 · 2017 IEEE Energy Conversion Congress and Exposition (ECCE)
101. Machine-assisted map editing
     Bastani, Favyen, He, Songtao, Abbar, Sofiane, Alizadeh, Mohammad, Balakrishnan, Hari, Chawla, Sanjay, Madden, Sam · 2018 · Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
102. An interpretable produce price forecasting system for small and marginal farmers in India using collaborative filtering and adaptive nearest neighbors
     Ma, Wei, Nowocin, Kendall, Marathe, Niraj, Chen, George H. · 2019 · Proceedings of the Tenth International Conference on Information and Communication Technologies and Development
103. On solar geoengineering and climate uncertainty
     MacMartin, Douglas G., Kravitz, Ben, Rasch, Philip J. · 2015 · Geophysical Research Letters
104. Big Data in Climate
     Anuj Karpatne, Vipin Kumar · 2017 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
105. Ubenwa: Cry-based Diagnosis of Birth Asphyxia
     Charles C. Onu, Innocent Udeogu, Eyenimi Ndiomu · 2017 · arXiv (Cornell University)
106. Transactive System: Part II: Analysis of Two Pilot Transactive Systems using Foundational Theory and Metrics
     Jianming Jamie Lian, Yizhe Sun, Karanjit Kalsi · 2018
107. Transactive System: Part I: Theoretical Underpinnings of Payoff Functions, Control Decisions, Information Privacy, and Solution Concepts
     Jianming Jamie Lian, Wei Emma Zhang, Yizhe Sun · 2018
108. Quantifying uncertainty from aerosol and atmospheric parameters and their impact on climate sensitivity
     Fletcher, Christopher G., Kravitz, Ben, Badawy, Bakr · 2018 · Atmospheric Chemistry and Physics
109. Dynamic Energy Management
     Moehle, Nicholas, Busseti, Enzo, Boyd, Stephen, Wytock, Matt · 2019 · Springer Optimization and Its Applications
110. Improved Cooperative Multi-agent Reinforcement Learning Algorithm Augmented by Mixing Demonstrations from Centralized Policy
     Hyun-Rok Lee, Taesik Lee · 2019 · Adaptive Agents and Multi-Agents Systems
111. The HomeBots System and Field Test - A Multi-Commodity Market for Predictive Power Load Management,
     Fredrik Ygge, J.M. Akkermans, Andersson, A. · 1999 · Data Archiving and Networked Services (DANS)
112. Improvement of climate predictions and reduction of their uncertainties using learning algorithms
     Ehud Strobach, Golan Bel · 2015 · Atmospheric chemistry and physics
113. Towards environmental monitoring with the Autosub autonomous underwater vehicle
     Gwyn Griffiths, Nicholas W. Millard, Stephen D. McPhail · 2002
114. ORION: Online Regularized Multi-task Regression and Its Application to Ensemble Forecasting
     Jianpeng Xu, Pang‐Ning Tan, Lifeng Luo · 2014 · Proceedings
115. Intelligent Drone Swarm for Search and Rescue Operations at Sea
     Vincenzo Lomonaco, Angelo Trotta, Marta Ziosi · 2018 · arXiv (Cornell University)
116. On the use of pattern matching for rapid anomaly detection in smart grid infrastructures
     Zubair Ahmed Baig · 2011 · IEEE International Conference on Smart Grid Communications (SmartGridComm)
117. Incorporating sustainability into computing education
     Fisher, Douglas H., Bian, Zimei, Chen, Selina · 2016 · IEEE Intelligent Systems
118. Deep learning for Amazon satellite image analysis
     Bragilevsky, Lior, Bajic, Ivan V. · 2017 · 2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)
119. PVNet: A LRCN Architecture for Spatio-Temporal Photovoltaic PowerForecasting from Numerical Weather Prediction
     Johan Mathe, Nina Miolane, Nicolas Sébastien · 2019 · arXiv (Cornell University)
120. A Novel Graphical Lasso Based Approach Towards Segmentation Analysis in Energy Game-Theoretic Frameworks
     Das, Hari Prasanna, Konstantakopoulos, Ioannis C., Manasawala, Aummul Baneen, Veeravalli, Tanya, Liu, Huihan, Spanos, Costas J. · 2019 · 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA)
121. Data-Driven Decentralized Optimal Power Flow.
     Roel Dobbe, Oscar Sondermeijer, David Fridovich-Keil, Daniel Arnold, Duncan S. Callaway, Claire Jennifer Tomlin · 2018 · arXiv (Cornell University)
122. Ladybird Cobbitty 2017 Brassica Dataset
     Asher Bender · 2019 · The Sydney eScholarship Repository (The University of Sydney)
123. Dynamic Energy Management
     Nicholas Moehle, Enzo Busseti, Stephen Boyd · 2019 · RePEc: Research Papers in Economics
124. GridTracer: Automatic Mapping of Power Grids Using Deep Learning and Overhead Imagery
     Bohao Huang, Jichen Yang, Artem Streltsov, Kyle Bradbury, Leslie M. Collins, Jordan M. Malof · 2021 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
125. Green industrial networking: recent advances, taxonomy, and open research challenges
     Ahmed, Ejaz, Yaqoob, Ibrar, Ahmed, Arif, Gani, Abdullah, Imran, Muhammad, Guizani, Sghaier · 2016 · IEEE Communications Magazine
126. Telepresence is a potentially transformative tool for field science
     Marlow, Jeffrey, Borrelli, Chiara, Jungbluth, Sean P., Hoffman, Colleen, Marlow, Jennifer, Girguis, Peter R., the AT-36 Team, Dekas, Anne, Skarke, Adam, Blackman, Donna et al. · 2017 · Proceedings of the National Academy of Sciences
127. A novel approach to estimate emissions from large transportation networks: Hierarchical clustering-based link-driving-schedules for EPA-MOVES using dynamic time warping measures
     Aziz, H. M. Abdul, Ukkusuri, Satish V. · 2018 · International Journal of Sustainable Transportation
128. Machine learning analysis for a flexibility energy approach towards renewable energy integration with dynamic forecasting of electricity balancing power
     Essl, Andreas, Ortner, Andre, Haas, Reinhard, Hettegger, Peter · 2017 · 2017 14th International Conference on the European Energy Market (EEM)
129. Spatial Transferability of Neural Network Models in Travel Demand Modeling
     Tang, Liang, Xiong, Chenfeng, Zhang, Lei · 2018 · Journal of Computing in Civil Engineering
130. Bias Reduction via End-to-End Shift Learning: Application to Citizen Science
     Di Chen, Carla Pedro Gomes · 2019 · Proceedings of the AAAI Conference on Artificial Intelligence
131. A Near‐Global Atmospheric Distribution of N₂O Isotopologues
     Bernath, Peter F., Yousefi, Mahdi, Buzan, Eric, Boone, Chris D. · 2017 · Geophysical Research Letters
132. Assessment of mitigation strategies as tools for risk management under future uncertainties: a multi-model approach
     Mori, Shunsuke, Washida, Toyoaki, Kurosawa, Atsushi, Masui, Toshihiko · 2018 · Sustainability Science
133. The Role of Restoration and Key Ecological Invasion Mechanisms in Optimal Spatial-Dynamic Management of Invasive Species
     Albers, Heidi J., Hall, Kim Meyer, Lee, Katherine D., Taleghan, Majid Alkaee, Dietterich, Thomas G. · 2018 · Ecological Economics
134. Field-Level Crop Type Classification with k Nearest Neighbors: A Baseline for a New Kenya Smallholder Dataset
     Hannah Kerner, Catherine Nakalembe, Inbal Becker‐Reshef · 2020 · arXiv (Cornell University)
135. Online Mixed-Integer Optimization in Milliseconds
     Dimitris Bertsimas, Bartolomeo Stellato · 2019 · arXiv (Cornell University)
136. Simultaneous closed-loop control of the current profile and the electron temperature profile in the TCV tokamak
     Justin E. Barton, William P. Wehner, Eugenio Schuster, Federico Felici, O. Sauter · 2015 · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference
137. Machine Vision for Natural Gas Methane Emissions Detection Using an Infrared Camera
     Jingfan Wang, Lyne P. Tchapmi, Arvind P. Ravikumara · 2019 · arXiv (Cornell University)
138. Exploring the orientations which characterise the likely public acceptance of low emission energy technologies
     Carr-Cornish, Simone, Ashworth, Peta, Gardner, John, Fraser, Stephen J. · 2011 · Climatic Change
139. Design, analysis, and learning control of a fully actuated micro wind turbine
     J. Zico Kolter, Zachary John Jackowski, R. Tedrake · 2012 · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference
140. Routing for Rural Health: Optimizing Community Health Worker Visit Schedules
     Emma Brunskill, Neal B. Lesh · 2010
141. Theory and Practice in Policy Analysis: Including Applications in Science and Technology
     Millett Granger Morgan · 2017
142. Quantifying Heterogeneous Causal Treatment Effects in World Bank Development Finance Projects
     Zhao, Jianing, Runfola, Daniel M., Kemper, Peter · 2017 · Lecture Notes in Computer Science
143. Electric Vehicle Load Disaggregation Based on Limited Activation Matching Pursuits
     Wang, Shuangyuan, Li, Ran, Evans, Adrian, Li, Furong · 2019 · Energy Procedia
144. Automated cyclist data collection under high density conditions
     Zaki, Mohamed H., Sayed, Tarek · 2016 · IET Intelligent Transport Systems
145. Evolutionary Climate-Change Modelling: A Multi-Agent Climate-Economic Model
     Geisendorf, Sylvie · 2018 · Computational Economics
146. Designing Carbon-Neutral Investment Portfolios
     Gianfrate, Gianfranco · 2018 · Palgrave Studies in Sustainable Business In Association with Future Earth
147. Combining MCTS and A3C for Prediction of Spatially Spreading Processes in Forest Wildfire Settings
     Ganapathi Subramanian, Sriram, Crowley, Mark · 2018 · Lecture Notes in Computer Science
148. Learning Cognitive Models Using Neural Networks
     Chaplot, Devendra Singh, MacLellan, Christopher, Salakhutdinov, Ruslan, Koedinger, Kenneth · 2018 · Lecture Notes in Computer Science
149. Disaggregation for Networked Power Systems
     James Anderson, Fengyu Zhou, Steven H. Low · 2018 · Power Systems Computation Conference
150. Efficient Multi-Objective Optimization through Population-based Parallel Surrogate Search
     Taimoor Akhtar, Christine A. Shoemaker · 2019 · arXiv (Cornell University)
151. Causal Structure Learning for Famine Prediction
     Ernest Mwebaze, Washington Okori, John A. Quinn · 2010
152. Use of Support Vector Machines to Assign Short-Term Counts to Seasonal Adjustment Factor Groups
     Tsapakis, Ioannis, Schneider, William H. · 2015 · Transportation Research Record: Journal of the Transportation Research Board
153. Mobile on-farm digital technology for smallholder farmers
     Salah Sukkarieh, Sukkarieh, Salah · 2017 · RePEc: Research Papers in Economics
154. Research on Optimization Allocation Scheme of Initial Carbon Emission Quota from the Perspective of Welfare Effect
     Wu, Qunli, Zhang, Hongjie · 2019 · Energies
155. Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization
     Bryan Wilder, Bistra Dilkina, Milind Tambe · 2018 · arXiv (Cornell University)
156. Machine Learning-based Estimation of Forest Carbon Stocks to increase Transparency of Forest Preservation Efforts
     Björn Lütjens, Lucas Liebenwein, Kramer, Katharina · 2019 · arXiv (Cornell University)
157. Welfare Impacts of Rural Electrification: A Case Study from Bangladesh
     Shahidur R. Khandker, Douglas F. Olivares Barnes, Hussain A. Samad · 2015 · CrossAsia-Repository (Universität Heidelberg)
158. DROUGHT FORECASTING BASED ON MACHINE LEARNING OF REMOTE SENSING AND LONG-RANGE FORECAST DATA
     Jinyoung Rhee, Jungho Im, S. Park · 2016 · ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
159. Bike share travel time modeling: San Francisco bay area case study
     Ghanem, Ahmed, Elhenawy, Mohammed, Almannaa, Mohammed, Ashqar, Huthaifa I., Rakha, Hesham A. · 2017 · 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)
160. Macro, Finance, and Macro Finance: Solving Nonlinear Models in Continuous Time with Machine Learning
     Duarte, Victor · 2017 · SSRN Electronic Journal
161. Feature discovery and visualization of robot mission data using convolutional autoencoders and Bayesian nonparametric topic models
     Genevieve Flaspohler, Nicholas Roy, Yogesh A. Girdhar · 2017 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
162. OP III – 4 Exposure assessment models for no2 and pm2.5 in the elapse study: a comparison of supervised linear regression and machine learning approaches
     Jie Chen, Kees de Hoogh, Maciek Strak · 2018
163. Position paper on high performance computing needs in Earth system prediction.
     Jessie C. Carman, Thomas L. Clune, Francis X. Giraldo · 2017 · Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School)
164. An overload behavior detection system for engineering transport vehicles based on deep learning
     Zhou, Libo, Wu, Gang · 2018 · AIP Conference Proceedings
165. The Utilization of Supervised Machine Learning in Predicting Corrosion to Support Preventing Pipelines Leakage in Oil and Gas Industry
     Stiffi Zukhrufany · 2018 · NORA - Norwegian Open Research Archives
166. Forecasting Energy Demand for Microgrids Over Multiple Horizons
     Fred Otieno, Nathaniel J. Williams, Patrick McSharry · 2018 · IEEE PES/IAS PowerAfrica Conference (PowerAfrica)
167. Data Fusion to Describe and Quantify Search and Rescue Operations in the Mediterranean Sea
     Katherine Hoffmann Pham, Jeremy Boy, Miguel Angel Luengo-Oroz · 2018 · IEEE International Conference on Data Science and Advanced Analytics (DSAA)
168. Accelerated Discovery of Sustainable Building Materials
     Xiou Ge, Richard Goodwin, Jeremy R. Gregory · 2019 · arXiv (Cornell University)
169. AI for the Common Good?! Pitfalls, challenges, and ethics pen-testing
     Berendt, Bettina · 2019 · Paladyn, Journal of Behavioral Robotics
170. Zero-shot learning of aerosol optical properties with graph neural networks
     Kara Diane Lamb, Pierre Gentine · 2023 · Scientific Reports
171. Dynamic data center load response to variability in private and public electricity costs
     Horner, Nathaniel, Azevedo, Ines, Sicker, Doug, Agarwal, Yuvraj · 2016 · 2016 IEEE International Conference on Smart Grid Communications (SmartGridComm)
172. A Supervised Learning Framework for Arbitrary Lagrangian-Eulerian Simulations
     Ming Feng Jiang, Brian J. Gallagher, Joshua Kallman · 2016 · IEEE International Conference on Machine Learning and Applications (ICMLA)
173. Stratospheric Aerosol Injection as a Deep Reinforcement Learning Problem
     de Witt, Christian Schroeder, Hornigold, Thomas · 2019 · arXiv
174. Evolutionary model discovery of causal factors behind the socio-agricultural behavior of the ancestral Pueblo
     Chathika Gunaratne, Ivan I. Garibay, Nguyen Dang · 2018 · arXiv (Cornell University)
175. Cross-Cultural Design. Applications in Cultural Heritage, Creativity and Social Development: 10th International Conference, CCD 2018, Held as Part of HCI International 2018, Las Vegas, NV, USA, July 15-20, 2018, Proceedings, Part II
     2018 · Lecture Notes in Computer Science
176. Characterization of the Life Cycle Environmental Impacts and Benefits of Smart Electric Meters and Consequences of their Deployment in California
     Glenn Sias · 2017 · eScholarship (California Digital Library)
177. Matrix Completion for Low-Observability Voltage Estimation
     Donti, Priya L., Liu, Yajing, Andreas Schmitt · 2018 · arXiv (Cornell University)
178. Reinforcement Learning for Fair Dynamic Pricing
     Roberto Maestre, Juan Duque, Alberto Rubio · 2018 · arXiv (Cornell University)
179. Bandit-Based Solar Panel Control
     David Lynn Abel, Edward Williams, Stephen Brawner · 2018 · Proceedings of the AAAI Conference on Artificial Intelligence
180. Infrastructure Resilience for Climate Adaptation
     Gupta, Amrita, Robinson, Caleb, Dilkina, Bistra · 2018 · Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies
181. Convolutional Neural Networks Predict Fish Abundance from Underlying Coral Reef Texture
     Grace C. Young, Vassileios Balntas, Victor Adrian Prisacariu · 2018
182. Steam Turbines
     Dipak K. Sarkar · 2015 · Elsevier eBooks
183. Zero-Shot Learning of Aerosol Optical Properties with Graph Neural Networks
     Kara Diane Lamb, Pierre Gentine · 2021 · arXiv (Cornell University)
184. Rapid surface detection of CO2 leaks from geologic sequestration sites
     Dylan Moriarty, Laura M. Dobeck, Sally M. Benson · 2014 · Energy Procedia
185. Efficiently Optimizing for Dendritic Connectivity on Tree-Structured Networks in a Multi-Objective Framework
     Shi, Qinru, Gomes-Selman, Jonathan M., García-Villacorta, Roosevelt, Sethi, Suresh, Flecker, Alexander S., Gomes, Carla P. · 2018 · Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies
186. Optimal Choice of Enterprise’s Production Strategy under Constraints of Carbon Quota
     Zheng, Xiping, Guo, Qiang, Li, Zenglu, Zhang, Ting · 2018 · International Journal of Computational Intelligence Systems
187. Challenges and Prospects for Data-Driven Climate Change Mitigation
     Lynn H. Kaack · 2019 · Figshare
188. A graph-based model to discover preference structure from choice data.
     Cristóbal De La Maza, Alex L. Davis, Cleotilde González · 2018 · eScholarship (California Digital Library)
189. Peer Effects in the Diffusion of Solar Photovoltaic Panels
     BollingerBryan, GillinghamKenneth · 2012 · Marketing Science
190. Employment relations
     Vukosi N. Marivate, Nyalleng Moorosi · 2017 · IEEE/WIC/ACM International Conference on Web Intelligence
191. Predictions of H-mode performance in ITER
     Robert V. Budny, R. André, Glenn Bateman · 2008
192. Hedging Climate Change News
     2022 · Climate Change and Law Collection
193. Global Urban Typology Discovery with a Latent Class Choice Model
     Yafei Han, Jimi B. Oke, Sean T. Hua · 2018 · Transportation Research Board 97th Annual MeetingTransportation Research Board
194. Overview of the State of the Art
     Sara Foresti · 2010 · Advances in information security
195. Willingness to pay to avoid environmental impacts of electricity generation
     Cristóbal de la Maza Guzmán · 2013 · RePEc: Research Papers in Economics
196. Deep Fault Analysis and Subset Selection in Solar Power Grids
     Biswarup Bhattacharya, Abhishek Sinha · 2017 · arXiv (Cornell University)
197. Annotation automatique d'images: le cas de la déforestation.
     Duy Ngoc Thai Huynh, Nathalie Neptune · 2018 · HAL (Le Centre pour la Communication Scientifique Directe)
198. Machine Learning Approach for Spatially and Temporally Resolved PM2.5 Exposures in the Continental United States
     Qian Di, Petros Koutrakis, Christine Choirat · 2018 · ISEE Conference Abstracts
199. Agriculture Commodity Arrival Prediction using Remote Sensing Data: Insights and Beyond
     Prasad, Gautam, Upendra Reddy Vuyyuru, Mithun Das Gupta · 2019 · arXiv (Cornell University)
200. On the use of machine learning for causal inference in climate economics
     Isabel Hovdahl · 2019 · RePEc: Research Papers in Economics