Littérature scientifique sur le sujet « Wind Forecasts »
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Articles de revues sur le sujet "Wind Forecasts"
Sampson, Charles R., Paul A. Wittmann, Efren A. Serra, Hendrik L. Tolman, Jessica Schauer et Timothy Marchok. « Evaluation of Wave Forecasts Consistent with Tropical Cyclone Warning Center Wind Forecasts ». Weather and Forecasting 28, no 1 (1 février 2013) : 287–94. http://dx.doi.org/10.1175/waf-d-12-00060.1.
Texte intégralRiordan, Allen J. « Forecasting for a Remote Island : A Class Exercise ». Bulletin of the American Meteorological Society 84, no 6 (1 juin 2003) : 777–84. http://dx.doi.org/10.1175/bams-84-6-777.
Texte intégralTyner, Bryce, Anantha Aiyyer, Jonathan Blaes et Donald Reid Hawkins. « An Examination of Wind Decay, Sustained Wind Speed Forecasts, and Gust Factors for Recent Tropical Cyclones in the Mid-Atlantic Region of the United States ». Weather and Forecasting 30, no 1 (1 février 2015) : 153–76. http://dx.doi.org/10.1175/waf-d-13-00125.1.
Texte intégralKnaff, John A., et Charles R. Sampson. « After a Decade Are Atlantic Tropical Cyclone Gale Force Wind Radii Forecasts Now Skillful ? » Weather and Forecasting 30, no 3 (1 juin 2015) : 702–9. http://dx.doi.org/10.1175/waf-d-14-00149.1.
Texte intégralRoads, JO, K. Ueyoshi, SC Chen, J. Alpert et F. Fujioka. « Medium-range fire weather forecasts ». International Journal of Wildland Fire 1, no 3 (1991) : 159. http://dx.doi.org/10.1071/wf9910159.
Texte intégralJacobs, A. J. M., et N. Maat. « Numerical Guidance Methods for Decision Support in Aviation Meteorological Forecasting ». Weather and Forecasting 20, no 1 (1 février 2005) : 82–100. http://dx.doi.org/10.1175/waf-827.1.
Texte intégralKnaff, John A., Charles R. Sampson et Galina Chirokova. « A Global Statistical–Dynamical Tropical Cyclone Wind Radii Forecast Scheme ». Weather and Forecasting 32, no 2 (20 mars 2017) : 629–44. http://dx.doi.org/10.1175/waf-d-16-0168.1.
Texte intégralHallgren, Christoffer, Stefan Ivanell, Heiner Körnich, Ville Vakkari et Erik Sahlée. « The smoother the better ? A comparison of six post-processing methods to improve short-term offshore wind power forecasts in the Baltic Sea ». Wind Energy Science 6, no 5 (16 septembre 2021) : 1205–26. http://dx.doi.org/10.5194/wes-6-1205-2021.
Texte intégralLehr, William J., Debra Simecek-Beatty et Marc Hodges. « Wind Uncertainty in Long Range Trajectory Forecasts ». International Oil Spill Conference Proceedings 2003, no 1 (1 avril 2003) : 435–39. http://dx.doi.org/10.7901/2169-3358-2003-1-435.
Texte intégralTheuer, Frauke, Andreas Rott, Jörge Schneemann, Lueder von Bremen et Martin Kühn. « Observer-based power forecast of individual and aggregated offshore wind turbines ». Wind Energy Science 7, no 5 (24 octobre 2022) : 2099–116. http://dx.doi.org/10.5194/wes-7-2099-2022.
Texte intégralThèses sur le sujet "Wind Forecasts"
Mason, Jesse Cheyenne. « On improving wind-turbine hub-height wind-speed forecasts ». Thesis, University of British Columbia, 2014. http://hdl.handle.net/2429/46558.
Texte intégralSiuta, David. « Improving hub-height wind forecasts in complex terrain ». Thesis, University of British Columbia, 2017. http://hdl.handle.net/2429/61055.
Texte intégralScience, Faculty of
Earth, Ocean and Atmospheric Sciences, Department of
Graduate
Welsh, David J. S. « The improvement of wind-wave forecasts in the Great Lakes / ». The Ohio State University, 1997. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487948807587679.
Texte intégralNchaba, Teboho. « Verification of gridded seasonal wind speed forecasts over South Africa ». Master's thesis, University of Cape Town, 2013. http://hdl.handle.net/11427/4970.
Texte intégralIncludes bibliographical references.
The Climate System Analysis Group (CSAG) at the University of Cape Town produces provisional global and Southern African seasonal wind forecasts generated using the United Kingdom Meteorological Office Atmospheric General Circulation Model (AGCM) HadAM3P (non-standard version of HadAM3). This study examines the quality of the seasonal wind speed forecasts through a forecast verification process for continuous variables using reanalysis products of the National Centers for Environmental Prediction and the Department of Energy (NCEP-DOE) as observations data. The verification analyses are performed using summary measures Mean Error (ME), Mean Absolute Error (MAE), Mean Squared Error (MSE), correlation coefficients, Linear Error in Probability Space (LEPS) and exploratory methods, scatter and conditional quantile plots. These methods are used to determine the aspects of forecast quality namely, bias, accuracy, reliability, resolution, and skill over a 20 year period (1991 to 2010). The results of the study have determined that the use of both accuracy and skill measures for the verification analyses provide more information about the quality of the forecasts, as opposed only one of these. In all provinces, the highest quality seasonal wind speed forecasts are made at 500 hPa and the lowest quality forecasts at 1000 hPa. Furthermore regions, pressure levels, and seasons with the highest forecast quality share the common characteristic that their wind speeds are relatively high. The forecasts add value to the climatology and thus are a useful tool for wind assessment at a seasonal scale. It is suggested that adding spatial resolution to the forecasts through downscaling may prepare them for use in applications such as wind power output forecasting.
Lau, Ada. « Probabilistic wind power forecasts : from aggregated approach to spatiotemporal models ». Thesis, University of Oxford, 2011. http://ora.ox.ac.uk/objects/uuid:f5a66568-baac-4f11-ab1e-dc79061cfb0f.
Texte intégralde, Almeida Francisco M. S. C. « The influence of wind on HF radar surface current forecasts ». Thesis, Monterey, Calif. : Naval Postgraduate School, 2008. http://edocs.nps.edu/npspubs/scholarly/theses/2008/Dec/08Dec%5Fde%5FAlmeida.pdf.
Texte intégralThesis Advisor(s): Paduan, Jeffrey. "December 2008." Description based on title screen as viewed on January 29, 2009. Includes bibliographical references (p. 67-69). Also available in print.
Sjöberg, Ludvig. « Wind Forecasts Using Large Eddy Simulations for Stratospheric Balloon Applications ». Thesis, Luleå tekniska universitet, Rymdteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-74457.
Texte intégralGallaher, Shawn G. « Performance of a high resolution diagnostic model for short range mesoscale wind forecasts in complex terrain ». Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02sep%5FGallaher.pdf.
Texte intégralThesis advisor(s): Douglas K. Miller, Wendell A. Nuss. Includes bibliographical references (p. 125-128). Also available online.
Olaofe, Zaccheus Olaniyi. « Wind energy generation and forecasts : a case study of Darling and Vredenburg sites ». Master's thesis, University of Cape Town, 2013. http://hdl.handle.net/11427/16831.
Texte intégralIve, Federica. « Improving numerical simulation methods for the assessment of wind source availability and related power production for wind farms over complex terrain ». Doctoral thesis, Università degli studi di Trento, 2022. http://hdl.handle.net/11572/350981.
Texte intégralLivres sur le sujet "Wind Forecasts"
G, Benjamin Stanley, et Forecast Systems Laboratory (U.S.), dir. A study of the accuracy of RUC-1 and RUC-2 wind and aircraft trajectory forecasts using ACARS observations. Boulder, Colo : U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Forecast Systems Laboratory, 1998.
Trouver le texte intégralGrasping for the wind : The search for meaning in the 20th century. Grand Rapids, Mich : Zondervan, 2001.
Trouver le texte intégralJohn F. Kennedy Space Center. et United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., dir. Statistical short-range guidance for peak wind speed forecasts on Kennedy Space Center/Cape Canaveral Air Force Station : Phase 1 results. [Washington, D.C.] : National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 2002.
Trouver le texte intégralJohn F. Kennedy Space Center. et United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., dir. Statistical short-range guidance for peak wind speed forecasts on Kennedy Space Center/Cape Canaveral Air Force Station : Phase 1 results. [Washington, D.C.] : National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 2002.
Trouver le texte intégralInc, Icon Group International, dir. The 2002 world market forecasts for imported wine. San Diego, Calif : Icon Group, 2002.
Trouver le texte intégralK, Sahai A., et Indian Institute of Tropical Meteorology., dir. Experimental seasonal forecast of Indian summer monsoon 2007 : Statistical and dynamical models. Pune : Indian Institute of Tropical Meteorology, 2007.
Trouver le texte intégralMandke, S. K. Dynamical ensemble seasonal forecast experiments of recent Indian summer monsoons : An assessment using new approach. Pune : Indian Institute of Tropical Meteorology, 2005.
Trouver le texte intégralSpace Environment Center (U.S.), dir. Wang and Sheeley medium-range planetary A index forecast verification statistics. Boulder, Colo : U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Space Environment Center, 1996.
Trouver le texte intégralSpace Environment Center (U.S.), dir. Wang and Sheeley medium-range planetary A index forecast verification statistics. Boulder, Colo : U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Space Environment Center, 1996.
Trouver le texte intégralSpace Environment Center (U.S.), dir. Wang and Sheeley medium-range planetary A index forecast verification statistics. Boulder, Colo : U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Space Environment Center, 1996.
Trouver le texte intégralChapitres de livres sur le sujet "Wind Forecasts"
Kay, Merlinde, et Iain MacGill. « Improving NWP Forecasts for the Wind Energy Sector ». Dans Weather Matters for Energy, 413–28. New York, NY : Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-9221-4_20.
Texte intégralKirthika, N., K. I. Ramachandran et Sasi K. Kottayil. « Deep Quantile Regression Based Wind Generation and Demand Forecasts ». Dans Advances in Intelligent Systems and Computing, 112–22. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49345-5_12.
Texte intégralMoritz, Richard E. « Accuracy of Surface Geostrophic Wind Forecasts in the Central Arctic ». Dans The Geophysics of Sea Ice, 1135–61. Boston, MA : Springer US, 1986. http://dx.doi.org/10.1007/978-1-4899-5352-0_19.
Texte intégralGiannitrapani, Antonio, Simone Paoletti, Antonio Vicino et Donato Zarrilli. « Optimal Bidding Strategies for Wind Power Producers with Meteorological Forecasts ». Dans 2013 Proceedings of the Conference on Control and its Applications, 13–20. Philadelphia, PA : Society for Industrial and Applied Mathematics, 2013. http://dx.doi.org/10.1137/1.9781611973273.3.
Texte intégralAbel, Rafael, Lutz Pegel et Andreas Waldmann. « On the Importance of Highly Resolved Wind Forecasts for Range Estimation ». Dans Proceedings, 187–96. Wiesbaden : Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-37011-4_16.
Texte intégralDi Napoli, Claudia, Alessandro Messeri, Martin Novák, João Rio, Joanna Wieczorek, Marco Morabito, Pedro Silva, Alfonso Crisci et Florian Pappenberger. « The Universal Thermal Climate Index as an Operational Forecasting Tool of Human Biometeorological Conditions in Europe ». Dans Applications of the Universal Thermal Climate Index UTCI in Biometeorology, 193–208. Cham : Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76716-7_10.
Texte intégralAlonzo, Bastien, Riwal Plougonven, Mathilde Mougeot, Aurélie Fischer, Aurore Dupré et Philippe Drobinski. « From Numerical Weather Prediction Outputs to Accurate Local Surface Wind Speed : Statistical Modeling and Forecasts ». Dans Springer Proceedings in Mathematics & ; Statistics, 23–44. Cham : Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99052-1_2.
Texte intégralAlmeida, Vânia, et João Gama. « Collaborative Wind Power Forecast ». Dans Adaptive and Intelligent Systems, 162–71. Cham : Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11298-5_17.
Texte intégralZjavka, Ladislav, Stanislav Mišák et Lukáš Prokop. « Post-processing of Wind-Speed Forecasts Using the Extended Perfect Prog Method with Polynomial Neural Networks to Elicit PDE Models ». Dans Hybrid Intelligent Systems, 11–21. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14347-3_2.
Texte intégralNielsen, Henrik Aalborg. « Short Term Forecast of Wind Power ». Dans Advances in Wind Energy Conversion Technology, 107–32. Berlin, Heidelberg : Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-540-88258-9_4.
Texte intégralActes de conférences sur le sujet "Wind Forecasts"
Kemper, Jason J., Mark F. Bielecki et Thomas L. Acker. « Modeling of Wind Power Production Forecast Errors for Wind Integration Studies ». Dans ASME 2010 4th International Conference on Energy Sustainability. ASMEDC, 2010. http://dx.doi.org/10.1115/es2010-90441.
Texte intégralZhang, Jie, Anthony Florita, Bri-Mathias Hodge et Jeffrey Freedman. « Ramp Forecasting Performance From Improved Short-Term Wind Power Forecasting ». Dans ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34775.
Texte intégralHaupt, Sue Ellen, Gerry Wiener, Yubao Liu, Bill Myers, Juanzhen Sun, David Johnson et William Mahoney. « A Wind Power Forecasting System to Optimize Power Integration ». Dans ASME 2011 5th International Conference on Energy Sustainability. ASMEDC, 2011. http://dx.doi.org/10.1115/es2011-54773.
Texte intégralBai, Li, Emanuele Crisostomi, Marco Raugi et Mauro Tucci. « Wind Power Forecast Using Wind Forecasts at Different Altitudes in Convolutional Neural Networks ». Dans 2019 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2019. http://dx.doi.org/10.1109/pesgm40551.2019.8973938.
Texte intégralSroga, J., A. Rosenberg, L. O’Hara, P. Hays et B. Kennedy. « Ground Based 0.53 μm Wind Sensor ». Dans Optical Remote Sensing. Washington, D.C. : Optica Publishing Group, 1985. http://dx.doi.org/10.1364/ors.1985.wc30.
Texte intégralChagas, F. M., B. R. F. Rachid, B. G. Ambrosio, A. A. Luz, C. B. Gramcianinov, P. F. Serrao, R. Camargo et E. Siegle. « Assessment of Wind and Wave High-Resolution Forecasts During High-Energy Weather Events in the Brazilian Coast ». Dans ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/omae2021-62030.
Texte intégralWu, Yuan-Kang, Po-En Su et Jing-Shan Hong. « An overview of wind power probabilistic forecasts ». Dans 2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). IEEE, 2016. http://dx.doi.org/10.1109/appeec.2016.7779540.
Texte intégralKaso, Mathias, Felix Musgens et Oliver Grothe. « Dynamic forecast combinations of improved individual forecasts for the prediction of wind energy ». Dans 2016 13th International Conference on the European Energy Market (EEM). IEEE, 2016. http://dx.doi.org/10.1109/eem.2016.7521228.
Texte intégralCampos, Ricardo Martins, Andressa D’Agostini, Leandro Machado Cruz, Bruna Reis Leite França et C. Guedes Soares. « Extreme Wind and Wave Predictability From Operational Forecasts at the Drake Passage ». Dans ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/omae2019-96626.
Texte intégralFrate, Guido Francesco, Lorenzo Ferrari et Umberto Desideri. « Impact of Forecast Uncertainty on Wind Farm Profitability ». Dans ASME Turbo Expo 2019 : Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/gt2019-91523.
Texte intégralRapports d'organisations sur le sujet "Wind Forecasts"
Pennock, K. Updated Eastern Interconnect Wind Power Output and Forecasts for ERGIS : July 2012. Office of Scientific and Technical Information (OSTI), octobre 2012. http://dx.doi.org/10.2172/1056126.
Texte intégralNorquist, Donald C., et Warner C. Meeks. A Comparative Verification of Forecasts from Two Operational Solar Wind Models (Postprint). Fort Belvoir, VA : Defense Technical Information Center, février 2012. http://dx.doi.org/10.21236/ada558506.
Texte intégralPiwko, Richard, et Gary Jordan. Impacts of Improved Day-Ahead Wind Forecasts on Power Grid Operations : September 2011. Office of Scientific and Technical Information (OSTI), novembre 2011. http://dx.doi.org/10.2172/1031400.
Texte intégralFinley, Cathy. The Wind Forecast Improvement Project (WFIP). A Public/Private Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations -- the Northern Study Area. Office of Scientific and Technical Information (OSTI), avril 2014. http://dx.doi.org/10.2172/1129929.
Texte intégralNachmani, Gil. Minimum-Energy Flight Paths for UAVs Using Mesoscale Wind Forecasts and Approximate Dynamic Programming. Fort Belvoir, VA : Defense Technical Information Center, décembre 2007. http://dx.doi.org/10.21236/ada475720.
Texte intégralFreedman, Jeffrey M., John Manobianco, John Schroeder, Brian Ancell, Keith Brewster, Sukanta Basu, Venkat Banunarayanan, Bri-Mathias Hodge et Isabel Flores. The Wind Forecast Improvement Project (WFIP) : A Public/Private Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations. The Southern Study Area, Final Report. Office of Scientific and Technical Information (OSTI), avril 2014. http://dx.doi.org/10.2172/1129905.
Texte intégralOptis, Michael, George N. Scott et Caroline Draxl. Evaluation of Wind Power Forecasts from the Vermont Weather Analytics Center and Identification of Improvements. Office of Scientific and Technical Information (OSTI), février 2018. http://dx.doi.org/10.2172/1419925.
Texte intégralDumais, Robert E., John W. Raby, Yansen Wang, Yasmina R. Raby et David Knapp. Performance Assessment of the Three-Dimensional Wind Field Weather Running Estimate - Nowcast and the Three-Dimensional Wind Field Air Force Weather Agency Weather Research and Forecasting Wind Forecasts. Fort Belvoir, VA : Defense Technical Information Center, décembre 2012. http://dx.doi.org/10.21236/ada573289.
Texte intégralGallagher, Alex, Sandra LeGrand, Taylor Hodgdon et Theodore Letcher. Simulating environmental conditions for Southwest United States convective dust storms using the Weather Research and Forecasting Model v4.1. Engineer Research and Development Center (U.S.), août 2022. http://dx.doi.org/10.21079/11681/44963.
Texte intégralVenäläinen, Ari, Sanna Luhtala, Mikko Laapas, Otto Hyvärinen, Hilppa Gregow, Mikko Strahlendorff, Mikko Peltoniemi et al. Sää- ja ilmastotiedot sekä uudet palvelut auttavat metsäbiotaloutta sopeutumaan ilmastonmuutokseen. Finnish Meteorological Institute, janvier 2021. http://dx.doi.org/10.35614/isbn.9789523361317.
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