In Preparation/SubmittedJ. de Vilmarest, J. Browell, M. Fasiolo, Y. Goude and O. Wintenberger, "Adaptive Probabilistic Forecasting of Electricity (Net-)Load", (in prep)
V. Gioia, M. Fasiolo, J. Browell, R. Bellio, "Additive covariance models: modelling regional electricity net-demand in Great Britain", (submitted) (arXiv, Data and Code) C. Gilbert, J. Browell and B. Stephen, "Probabilistic load forecasting for the low voltage network: forecast combination and daily peaks", (submitted) (arXiv, Data and Code) M. Hu, B. Stephen, J. Browell, S. Haben, and D.C.H. Wallom, "Reliability and interpretability of machine learning in building load forecasting: Data or algorithms? their impact on load forecast accuracy", (submitted) B. Rostami-Tabar, J. Browell and I. Svetunkov, "Short-term hourly forecasting for emergency care services", (submitted) JournalD. Huppmann, J. Browell, B.Nastasi, Z. Vale, D. Süsser, "Editorial: A research agenda for open energy science: Opportunities and perspectives of the F1000Research Energy Gateway", F1000Research, 11:896, 2022 (DOI)
M. T. Craig, J. Wohland, L. P. Stoop, A. Kies, B. Pickering H. C. Bloomfield, J. Browell and co-authors, "Overcoming the disconnect between energy system and climate modeling", Joule, (available online, DOI) C. Kang, J. Browell and co authors, "Editorial: Special Section on COVID-19 Impact on Electrical Grid Operation: Analysis and Mitigation", IEEE Open Access Journal of Power and Energy, 2022, (DOI) J. Browell and C. Gilbert, "Predicting electricity imbalance prices and volumes: capability and opportunity", Energies, 15(10), 3645, 2022, (DOI) R. Tawn, J. Browell, and D McMillan, "Sub-seasonal-to-Seasonal forecasting for wind turbine maintenance scheduling", Wind, 2(2), 260-287, 2022, (DOI) J. Browell, C. Gilbert and M. Fasiolo, "Covariance Structures for High-dimensional Energy Forecasting", Electric Power Systems Research (Special Issue for PSCC 2022), (DOI, conference slides) M. Farrokhabadi, J. Browell, Y. Wang, S. Makonin, W. Su, and H. Zareipour, "Day-Ahead Electricity Demand Forecasting Competition: Post-COVID Paradigm", IEEE Open Access Journal of Power and Energy, vol. 9, pp. 185-191, 2022 (DOI) R.M. Graham, J. Browell, D. Bertram and C.J. White, "The application of sub-seasonal to seasonal (S2S) predictions for hydropower forecasting", Meteorological Applications, 29(1), e2047, 2022, (DOI) E. Heylen, J. Browell and F. Teng, "Probabilistic day-ahead inertia forecasting", IEEE Transactions on Power Systems, vol. 37, no. 5, 3738-3746, 2022, (DOI, pre-print) C.J. White, R.M. Graham, J. Browell et al., "Advances in the application and utility of subseasonal-to-seasonal predictions", Bulletin of the American Meteorological Society, (published online, DOI) F. Petropoulos, J. Browell, et al., "Forecasting: theory and practice", International Journal of Forecasting (published online, DOI) R. Tawn and J. Browell, "A review of very short-term wind and solar power forecasting", Renewable and Sustainable Energy Reviews, vol. 153, 111758, 2022 (DOI) J. Browell and M. Fasiolo, "Probabilistic Forecasting of regional net-load with conditional extremes and gridded NWP", IEEE Transactions on Smart Grid, vol. 12, no, 6, pp. 5011-5019, 2021, (DOI, arXiv), [data and code] [Recorded presentation from EVA2021] E. Medina-Lopez, D. McMillan, J. Lazic, E. Hart, S. Zen, A. Angeloudis, E. Bannon, J. Browell, S. Dorling, R.M. Dorrell, R. Foster, C. Old, G.S. Payne, G. Porter, A.S. Rabaenda, B. Sellar, E. Tapoglou, N. Trifonova, I.H. Woodhouse, and A. Zampollo, "Satellite data for the offshore renewable Energy sector: synergies and innovation opportunities", Remote Sensing of Environment, vol. 264, 2021 112588, (DOI, arXiv) H.C. Bloomfield, P.L.M. Gonzalez, J.K. Lundquist, L.P. Laurens, J. Browell, R. Dargaville, M. De Felice, K. Gruber, A. Hilbers, A. Kies, M. Panteli, H.E. Thornton, J. Wohland, M. Zeyringer and D.J. Brayshaw, "The importance of weather and climate to energy systems: A workshop on Next Generation Challenges in Energy-Climate Modelling", Bulletin of the American Meteorological Society, 102(1), E159-E167, (open access) R. Telford, B. Stephen, J Browell and S. Haben, "Dirichlet Sampled Capacity and Loss Estimation for LV Distribution Networks with Partial Observability", IEEE Transaction on Power Delivery, vol. 36, no. 5, pp. 2676-2686, Oct. 2021, (pre-print, DOI) C. Gilbert, J. Browell and D. McMillan, "Probabilistic Access Forecasting for Improved Offshore Operations", International Journal of Forecasting, vol. 37, no. 1, pp. 134-150, 2021, (open access) In BookContributions to Parts 2 and 3 by J. Browell, Eds. C. Möhrlen , J. W. Zack, G. Giebel, IEA Wind Recommended Practice for the Implementation of Renewable Energy Forecasting Solutions, Academic Press, 270 pages, ISBN: 0443186812, 2022
ConferenceG. Giebel, C. Draxl2, H. Frank, J. Zack, C. Möhrlen, G. Kariniotakis, J. Browell, R. Bessa, and D. Lenaghan, "Forecasting for the Weather Driven Energy System – A new Task under IEA Wind", Wind & Solar Integration Workshop, 2022, (pre-print)
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