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Webster, M. D., K. Fisher-Vanden, V. Kumar, R. B. Lammers, and J. Perla, (2022). Integrated hydrological, power system and economic modelling of climate impacts on electricity demand and cost, Nature Energy, v. 7, pp. 163-169, https://doi.org/10.1038/s41560-021-00958-8.
S. Varghese, S. Dalvi, A. Narula, and M. D. Webster, (2021). The Impacts of Distinct Flexibility Enhancements on the Value and Dynamics of Natural Gas Power Plant Operations, IEEE Transactions on Power Systems, v. 36 (6), pp. 5803-5813, https://doi.org/10.1109/TPWRS.2021.3084367.
Bukenberger, J. P. and M. D. Webster, (2020). Approximate Latent Factor Algorithm for Scenario Selection and Weighting in Transmission Expansion Planning, IEEE Transactions on Power Systems, v. 35(2), pp. 1099-1108, [8846058]. https://doi.org/10.1109/TPWRS.2019.2942925.
Sun, S., B. V. Ordonez, M. D. Webster, J. Liu, C. J. Kucharik, and T. Hertel, (2020). Fine-Scale Analysis of the Energy-Land-Water Nexus: Nitrate Leaching Implications of Biomass Cofiring in the Midwestern United States, Environmental Science and Technology, v. 54(4), pp. 2122-2132, https://doi.org/10.1021/acs.est.9b07458.
Bukenberger, J. P. and M. D. Webster, (2019). Approximate latent factor algorithm for scenario selection and weighting in transmission expansion planning, IEEE Transactions on Power Systems, v. 35 (2), pp. 1099-1108.
Allen, D. T., F. J. Cardoso-Saldña, G. McGaughey, E. McDonald-Buller, and M. Webster, (2018). Uses for expanded production of natural gas liquids: chemicals or power?, Wiley Interdisciplinary Reviews: Energy and Environment, v. 7(1), [e258], https://doi.org/10.1002/wene.258.
Morris, J. F., V. Srikrishnan, M. D. Webster, and J. M. Reilly, (2018). Hedging strategies: Electricity investment decisions under policy uncertainty, Energy Journal, v. 39(1), pp. 101-122, https://doi.org/10.5547/01956574.39.1.jmor.
Jacquillat, A., A. R. Odoni, and M. D. Webster, (2017). Dynamic control of runway configurations and of arrival and departure service rates at JFK airport under stochastic queue conditions, Transportation Science, v. 51 (1), pp. 155-176.
Santen, N. R., M. D. Webster, D. Popp, and I. Pérez-Arriaga, (2017). Inter-temporal R&D and capital investment portfolios for the electricity industry’s low carbon future, Energy Journal, v. 38 (1), pp. 1-24, https://doi.org/10.5547/01956574.38.6.nsan.
Webster, M. D., K. Fisher-Vanden, D. Popp, and N. Santen, (2017). Should we give up after solyndra? Optimal technology R&D portfolios under uncertainty, Journal of the Association of Environmental and Resource Economists, v. 4 (S1), pp. S123-S151, https://doi.org/10.1086/691995.
Craig, M., E. McDonald-Buller, and M. D. Webster, (2016). Technology adoption under time-differentiated market-based instruments for pollution control, Energy Economics, v. 60, pp. 23-34, https://doi.org/10.1016/j.eneco.2016.09.019.
Diaz, C. A., M. D. Webster, J. Villar, and F. A. Campos, (2016). Dynamics of Market Power in ERCOT System: A Fundamental CSFE with Network Constraints, IEEE Transactions on Power Systems, v. 31(2), pp. 861-871,. [7066987]. https://doi.org/10.1109/TPWRS.2015.2411051.
McDonald-Buller, E., Y. Kimura, M. Craig, G. McGaughey, D. Allen, and M. D. Webster, (2016). Dynamic Management of NOx and SO2 Emissions in the Texas and Mid-Atlantic Electric Power Systems and Implications for Air Quality, Environmental Science and Technology, v. 50(3), pp. 1611-1619, https://doi.org/10.1021/acs.est.5b04175.
Palmintier, B. S. and M. D. Webster, (2016). Impact of Operational Flexibility on Electricity Generation Planning with Renewable and Carbon Targets, IEEE Transactions on Sustainable Energy, v. 7(2), pp. 672-684, [7350236]. https://doi.org/10.1109/TSTE.2015.2498640.
De Sisternes, F. J., M. D. Webster, and I. J. Pérez-Arriaga, (2015). The Impact of Bidding Rules on Electricity Markets with Intermittent Renewables, IEEE Transactions on Power Systems, v. 30(3), pp.1603-1613, [6910332], https://doi.org/10.1109/TPWRS.2014.2355775.
Parpas, P., B. Ustun, M. D. Webster, and Q. K. Tran, (2015). Importance sampling in stochastic programming: A Markov chain Monte Carlo approach, INFORMS Journal on Computing, v. 27(2), pp. 358-377, https://doi.org/10.1287/ijoc.2014.0630.
Díaz, C. A., M. D. Webster, J. Villar, and F. A. Campos, (2014). Market Power in ERCOT System: A Fundamental CSFE with Network Constraints, IEEE Transactions on Power Systems.
Eide, J., F. de Sisternes, H. Herzog, and M. D. Webster, (2014). CO2 emissions standards and investment in carbon capture. Energy Economics, v. 45 (2014), pp. 53–65.
Felgenhauer, T., and M. D. Webster, (2014). Modeling Adaptation as a Flow and Stock Decision with Mitigation, Climatic Change, v. 122, pp. 665-679.
Jacquillat, A, A. R. Odoni, and M. D. Webster, (2014). Dynamic Control of Runway Configurations and of Arrival and Departure Service Rates at JFK Airport under Stochastic Queue Conditions, Transportation Science.
Morris, J., M. D. Webster, and J. Reilly, (2014). Hedging Strategies: Electricity Investment Decisions under Policy Uncertainty, Energy Journal, v. 39 (1), 10.5547/01956574.39.1.jmor.
Palmintier, B., and M. D. Webster, (2014). Heterogeneous Unit Clustering for Efficient Operational Flexibility Modeling, IEEE Transactions on Power Systems, v. 29 (3), pp. 1089-1098.
Parpas, P., and M. D. Webster, (2014). A stochastic multiscale model for electricity generation capacity expansion, European Journal of Operational Research, v. 232 (2), pp. 359-374.
Parpas, P., B. Ustun, and M. D. Webster, (2014). Importance Sampling in Stochastic Programming: A Markov Chain Monte Carlo Approach, INFORMS Journal on Computing, v. 27 (2), pp. 193-430.
Pena-Alcaraz, M., A. Ramos, and M. D. Webster, (2014). Train Timetable Design for Shared Railway Systems using a Linear Programming Approach to Approximate Dynamic Programming, Transportation Research Part B: Methodological, Urban Transportation Special Issue.
Felgenhauer, T., and M. D. Webster, (2013) Multiple Adaptation Types with Mitigation: A Framework for Policy Analysis, Global Environmental Change, v. 23 (6), pp. 1556-1565.
Pacsi, A. P., N. S. Alhajeri, M. D. Webster, M. E. Webber, and D. T. Allen, (2013). Changing the spatial location of electricity generation to increase water availability in areas with drought: a feasibility study and quantification of air quality impacts in Texas, Environmental Research Letters, v. 8, [035029].
Panos, P., and M. D. Webster, (2013). A stochastic minimum principle and a meshfree method for stochastic optimal control, Automatica, v. 49 (6), pp. 1663-1671.
Popp, D., N. Santen, K. Fisher-Vanden, and M. D. Webster, (2013). Technology Variation vs. R&D Uncertainty: What Matters Most for Energy Patent Success? Resource and Energy Economics, v. 35 (4), pp. 505-533.
Webster, M. D., P. Donohoo, and B. Palmintier, (2013). Water-CO2 Tradeoffs in Electricity Generation Planning, Nature Climate Change, v. 3, pp. 1029-1032.
Sun, L., M. D. Webster, G. McGaughey, E. C. McDonald-Buller, T. Thompson, R. Prinn, A. D. Ellerman, and D. T. Allen, (2012). Flexible NOx Abatement from Power Plants in the Eastern United States, Environmental Science and Technology, v. 46 (10), pp. 5607–5615.
Webster, M. D., A. P. Sokolov, J. M. Reilly, C. E. Forest, S. Paltsev, A. Schlosser, C. Wang, D. Kicklighter, M. Sarofim, J. Melillo, R. G. Prinn, and H. D. Jacoby, (2012). Analysis of Climate Policy Targets under Uncertainty, Climatic Change, v. 112 (3), pp. 569-583.
Webster, M. D., N. R. Santen, and P. Parpas, (2012). An approximate dynamic programming framework for modeling global climate policy under decision-dependent uncertainty, Computational Management Science, v. 9, pp. 339–362.
Alhajeri, N. S., P. Donohoo, A. S. Stillwell, C. W. King, M. D. Webster, M. E. Webber, and D. T. Allen, (2011). Using Market-Based Dispatching With Environmental Price Signals to Reduce Emissions and Water Use at Power Plants in the Texas Grid. Environmental Research Letters, v. 6, 044018.
Webster, M. D., I. S. Wing, and L. Jakobavits, (2010). Second-Best Instruments for Near-Term Climate Policy: Intensity Targets vs. the Safety Valve, Journal of Environmental Economics and Management, v. 59, pp. 250–259.
Webster, M. D., S. Paltsev, and J. M. Reilly, (2010). “The Value of Emissions Trading,” Energy Policy, v. 38, pp. 1787-1796.
Selin, N. E., S. Wu, K.-M. Nam, J. M. Reilly, S. Paltsev, R. G. Prinn, and M. D. Webster, (2009). Global Health and Economic Impacts of Future Ozone Pollution. Environmental Research Letters, v. 4 (4), [044014], pp. 1-9.
Sokolov, A. P., P. H. Stone, C. E. Forest, R. Prinn, M. C.Sarofim, M. D. Webster, S. Paltsev, C. A. Schlosser, D. Kicklighter, S. Dutkiewicz, J. Reilly, C. Wang, B. Felzer, and H. D. Jacoby, (2009). “Probabilistic Forecast for 21st Century Climate based on Uncertainties in Emissions (without Policy) and Climate Parameters,” Journal of Climate, v. 22, pp. 5175-5204.
Webster, M. D., (2009). “Uncertainty and the IPCC: An Editorial Comment,” Climatic Change, v. 92, pp. 37-40.
Ellerman, A. D., M. D. Webster, J. Parsons, H. D. Jacoby, and M. McGuinness, (2008). Cap-and- Trade: Contributions to the Design of a U.S. Greenhouse Gas Program. MIT Center for Energy and Environmental Policy Research, Cambridge, MA, 100pp.
Nam, J., M. D. Webster, Y. Kimura, H. Jeffries, W. Vizuette, and D. T. Allen, (2008). "Reductions in ozone concentrations due to controls on variability in industrial flare emissions in Houston, Texas," Atmospheric Environment, v. 42, pp. 4198-4211.
Oppenheimer, M., B. C. O'Neill, and M. D. Webster, (2008). "Negative Learning and Global Environmental Change," Climatic Change, v. 89 (1-2), pp. 155-172.
Scott, J., A. Sokolov, P. Stone, and M. D. Webster, (2008). “Relative roles of climate sensitivity and forcing in defining the ocean circulation response to climate change,” Climate Dynamics, v. 30, pp. 441–454.
Webster, M. D., (2008). “Incorporating Path-Dependency into Decision Analytic Methods: An Application to Global Climate Change Policy,” Decision Analysis, v. 5 (2), pp. 60-75.
Webster, M. D., L. Jakobovits, and J. Norton, (2008). "Learning about Climate Change and Implications for Near-term Policy," Climatic Change, v. 89 (1-2), pp. 67-85.
Webster, M. D., S. Paltsev, and J. M. Reilly, (2008). “Autonomous Efficiency Improvement or Income Elasticity of Energy Demand: Does it Matter?” Energy Economics, v. 30, pp. 2785–2798.
Oppenheimer, M., B. C. O'Neill, M. D. Webster, and S. Agrawala, (2007). "The Limits of Consensus," Science, v. 317, pp. 1505-1506.
Webster, M. D., (2007). “Boiled Frogs, Hysteresis, and Path-Dependency in Climate Policy Decisions”, Chapter 29 in [Schlesinger, M., H. Kheshgi, J. Smith, F. de la Chesnaye, J. Reilly, C. Kolstad, and T. Wilson, eds.] Human-Induced Climate Change: An Interdisciplinary Assessment, Cambridge University Press, pp. 355-364.
Webster, M. D., J. Nam, Y. Kimura, H. Jeffries, W. Vizuette, and D. T. Allen, (2007). "The effect of variability in industrial emissions on ozone formation in Houston, Texas," Atmospheric Environment, v. 41 (40), pp. 9580–9593.
Webster, M. D., J. Scott, A. Sokolov, S. Dutkiewicz, and P. Stone (2007). “Estimating Probability Distributions from Complex Models with Bifurcations: The Case of Ocean Circulation Collapse,” Journal of Environmental Systems, v. 31 (1), pp. 39-59.