J. Browell, D. McMilland and M. Revie, (2018), "Scheduling Major Wind Turbine Component Replacements subject to Weather Risk using Real Options," in preparation.
C. Gilbert, J. Browell and D. McMillan, (2018), "Leveraging Turbine-level Data for Improved Probabilistic Wind Power Forecasting," submitted.
J. Browell, "Risk Constrained Trading Strategies for Stochastic Generation with a Single-Price Balancing Market," Energies, 11(6):1345, 2018, (open access).
J. Browell, D. R. Drew and K. Philippopoulos, (2018), "Improved Very Short-term Spatio-temporal Wind Forecasting using Atmospheric Regimes," Wind Energy, vol. 21, no. 11, pp. 968-979, 2018, (open access).
R. J. Bessa, C. Möhrlen, V. Fundel, M. Siefert, J. Browell, S. H. El Gaidi, B-M. S. Hodge,
U. Cali, (2017), "Towards Improved Understanding of the Applicability of Uncertainty Forecasts in Wind Energy," Energies, 10(9):1402, 2017, (open access).
A. Malvaldi, S. Weiss, D. Infield, J. Browell, P. Leahy and A. Foley, "A spatial and temporal correlation analysis of aggregate wind power in an ideally interconnected Europe," Wind Energy, vol. 20, no. 8, pp. 1315–1329, 2017, (open access).
L. Cavalcante, R. J. Bessa, M. Reis and J. Browell, "Sparse Structures for Very Short-term Wind Power Forecasting," Wind Energy, vol. 20, no. 4, pp. 657-675, 2017, (pre-print)
J. Dowell and P. Pinson, "Very-short-term Probabilistic Wind Power Forecasts by Sparse Vector Autoregression," IEEE Transactions on Smart Grid, vol. 7, no. 2, pp. 763-770, 2016, (pre-print).
V. M. Catterson, D. McMillan, I. Dinwoodie, M. Revie, J. Dowell, J. Quigley and K. Wilson, "An economic impact metric for evaluating wave height forecasters for offshore wind maintenance access," Wind Energy, vol. 29, issue 2, pp. 199-212, February 2016.
R. Bessa, J. Dowell, P. Pinson, Chapter: Renewable Energy Forecasting in "Smart Grid Handbook," Chen-Ching Liu, Stephen McArthur, Seung-Jae Lee (eds), Wiley, June 2016.
C. Möhrlen, J. Lerner, J.W. Messner, J. Browell, A. Tuohy, J. Zack, C. Collier, G. Giebel, (2018), "IEA Wind Recommended Practices for the Implementation of Wind Power Forecasting Solutions Part 2 and 3: Designing and executing forecasting benchmarks and evaluation of forecast solutions," Wind Integration Workshop, Stockholm, Sweden, 2018.
C. Gilbert, J. Browell and D. McMillan, "A Hierarchical Approach to Probabilistic Wind Power Forecasting," Probabilistic Methods Applied to Power Systems (PMAPS), Boise, Idaho, 2018.
J. Browell and C. Gilbert, "Cluster-based Regime-switching AR for the EEM Wind Power Forecasting Competiton," 14th International Conference on the European Energy Market (EEM), Dresden, Germany, 2017. Invited Paper. Code and Data
J. Browell, C. Gilbert and D. McMillan, "Use of Turbine Level Data for Improved Wind Power Forecasting," IEEE PowerTech Conference, Manchester, UK, 2017.
J. Dowell, I. Dinwoodie and D. McMillan, "Forecasting for Offshore Maintenance Scheduling under Uncertainty," European Safety and Reliability Conference, Glasgow, UK, 2016.
J. Dowell, G. Hawker, K. Bell and S. Gill, "Review of Probabilistic Methods of Defining Reserve Requirements," IEEE Power and Energy Society General Meeting, Boston, MA, 2016.