DOI: 10.1016/j.renene.2011.05.033. Current methods and advances in forecasting of wind power generation

Current methods and advances in forecasting of wind power generation

10.1016/j.renene.2011.05.033

Crossref journal-article

Elsevier BV

Renewable Energy (78)

Bibliography

Foley, A. M., Leahy, P. G., Marvuglia, A., & McKeogh, E. J. (2012). Current methods and advances in forecasting of wind power generation. Renewable Energy, 37(1), 1â8.

Authors 4

Aoife M. Foley (first)
Paul G. Leahy (additional)
Antonino Marvuglia (additional)
Eamon J. McKeogh (additional)

References 68 Referenced 1,009

{'key': '10.1016/j.renene.2011.05.033_bib1', 'series-title': 'World Wind Energy Report 2009', 'author': 'World Wind Energy Agency (WWEA)', 'year': '2010'} / World Wind Energy Report 2009 by World Wind Energy Agency (WWEA) (2010)
{'key': '10.1016/j.renene.2011.05.033_bib2', 'series-title': 'Wind generation data', 'author': 'EirGrid', 'year': '2009'} / Wind generation data by EirGrid (2009)
{'key': '10.1016/j.renene.2011.05.033_bib3', 'series-title': 'Wind power meteorology. Risø-I-1206(EN)', 'author': 'Petersen', 'year': '1997'} / Wind power meteorology. Risø-I-1206(EN) by Petersen (1997)
10.1016/S0167-6105(98)00192-5 / Journal of Wind Engineering and Industrial Aerodynamics / Short-term prediction of the power production from wind farms by Landberg (1999)
10.1016/S0167-6105(00)00079-9 / Journal of Wind Engineering and Industrial Aerodynamics / Short-term prediction of local wind conditions by Landberg (2001)
Giebel G, Landberg L, Kariniotakis G and Brownsword R. State-of-the-Art on methods and software tools for short-term prediction of wind energy. Proceedings of the European wind energy conference & exhibition, EWEC2003, Madrid, Spain; 2003. (10.1002/we.96)
10.1016/S0169-2070(01)00123-6 / International Journal of Forecasting / Using weather ensemble predictions in electricity demand forecasting by Taylor (2003)
10.1002/we.237 / Wind Energy / Optimal combination of wind power forecasts by HAa (2007)
10.1016/j.jweia.2008.03.013 / Journal of Wind Engineering and Industrial Aerodynamics / Improvements in wind speed forecasts for wind power prediction purposes using Kalman filtering by Louka (2008)
Juban J, Siebert N and Kariniotakis GN. Probabilistic short-term wind power forecasting for the optimal management of wind generation. Proceedings of the IEEE power tech 2007, Lausanne, Switzerland; 2007. (10.1109/PCT.2007.4538398)
10.1016/j.renene.2009.10.028 / Renewable Energy / Wind forecasts for wind power generation using the Eta model by Lazić (2010)
{'key': '10.1016/j.renene.2011.05.033_bib12', 'series-title': 'HIRLAM documentation manual', 'author': 'Källén', 'year': '1996'} / HIRLAM documentation manual by Källén (1996)
10.1175/1520-0493(1995)123<0515:IOTFEE>2.0.CO;2 / Monthly Weather Review / Integration of the fully-elastic equations cast in the hydrostatic pressure terrain-following coordinate in the framework of the ARPEGE/ALADIN NWP system by Bubnova (1995)
{'key': '10.1016/j.renene.2011.05.033_bib14', 'series-title': 'A\xa0description of the advanced research WRF, Version 2', 'author': 'Skamarock', 'year': '2005'} / A description of the advanced research WRF, Version 2 by Skamarock (2005)
{'key': '10.1016/j.renene.2011.05.033_bib15', 'series-title': 'A\xa0description of the fifth-generation Penn System/NCAR mesoscale model (MM5)', 'author': 'Grell', 'year': '1994'} / A description of the fifth-generation Penn System/NCAR mesoscale model (MM5) by Grell (1994)
10.1016/S0167-6105(01)00222-7 / Journal of Wind Engineering and Industrial Aerodynamics / Short-term prediction of the aggregated power output of wind farms – a statistical analysis of the reduction of the prediction error by spatial smoothing effects by Focken (2002)
{'key': '10.1016/j.renene.2011.05.033_bib17', 'series-title': 'Physical approach to short-term wind power prediction', 'author': 'Lange', 'year': '2005'} / Physical approach to short-term wind power prediction by Lange (2005)
{'key': '10.1016/j.renene.2011.05.033_bib18', 'series-title': 'Wind power prediction ensembles', 'author': 'Giebel', 'year': '2005'} / Wind power prediction ensembles by Giebel (2005)
10.1260/030952409790291217 / Wind Engineering / Forecasting wind generation, uncertainty and reserve requirement on the Irish power system using an ensemble prediction system by Lang (2009)
Lang S, Möhrlen J, Jørgensen J, O’Gallachóir BP and McKeogh E. Application of a multi-scheme ensemble prediction system for wind power forecasting in Ireland and comparison with validation results from Denmark and Germany. Proceedings of the European wind energy conference, EWEC2006, Athens, Greece; 2006.
Costello R, McCoy D, O’Donnell P, Dutton AG, Kariniotakis GN. Potential benefits of wind forecasting and the application of more-Care in Ireland. Proceedings of the 3rd MED power conference 2002, Athens, Greece; 2002.
10.1002/(SICI)1099-1824(199809)1:1<23::AID-WE9>3.0.CO;2-9 / Wind Energy / Mathematical look at a physical power prediction model by Landberg (1998)
10.1002/we.94 / Wind Energy / Wind resource estimation - an overview by Landberg (2003)
10.1016/j.renene.2007.08.013 / Renewable Energy / Wind speed spatial estimation for energy planning in Sicily: a neural kriging application by Cellura (2008)
10.1080/01425918508914383 / International Journal Solar Energy / Wind energy estimation and siting in complex terrain by Lalas (1985)
10.1007/BF00121954 / Boundary Layer Meteorology / Mass consistent models for wind distribution in complex terrain - fast algorithms for three dimensional problems by Dinar (1984)
Magnusson M and Wern L, Wind energy predictions using CFD and HIRLAM forecast. Proceedings of the European wind energy conference EWEC2001, Copenhagen, Denmark; 2001.
10.1175/1520-0450(1972)011<1203:TUOMOS>2.0.CO;2 / Journal of Applied Meteorology / The use of Model Output Statistics (MOS) in objective weather forecasting by Glahn (1972)
10.1016/j.solener.2004.09.013 / Solar Energy / Forecast of hourly averages wind speed with ARMA models in Navarre by Torres (2005)
10.1109/TPWRS.2006.879246 / IEEE Transactions on Power System / Grey predictor for wind energy conversion systems output power prediction by El-Fouly (2006)
Damousis IG and Dokopoulos P. A fuzzy model expert system for the forecasting of wind speed and power generation in wind farms. Proceedings of the IEEE international conference on power industry computer applications PICA 01; 2001.
Hervás-Martínez C, Gutiérrez PA, Fernández JC, Salcedo-Sanz S, Portilla-Figueras A, Pérez-Bellido A and et al. Hyperbolic tangent basis function neural networks training by hybrid evolutionary programming for accurate short-term wind speed prediction. Proceedings of the 9th international conference on intelligent systems design and applications, Pisa, Italy; 2009. (10.1109/ISDA.2009.30)
10.1016/j.ins.2007.05.024 / Information Sciences / Locally recurrent neural networks for wind speed prediction using spatial correlation by Barbounis (2007)
Welch RL, Ruffing SM, Venayagamoorthy GK. Comparison of feedforward and feedback neural network architectures for short-term wind speed prediction. Proceedings of international joint conference on neural networks, Atlanta, Georgia, USA; 2009. (10.1109/IJCNN.2009.5179034)
10.1016/j.renene.2008.11.014 / Renewable Energy / Comparison of two new short-term wind-power forecasting systems by Ramirez-Rosado (2009)
Mori H and Umezawa Y. Application of NB tree to selection of meteorological variables in wind speed prediction. Proceedings of the IEEE transmission & distribution conference & exposition, Asia and Pacific; 2009. (10.1109/TD-ASIA.2009.5356831)
Jursa R. Wind power prediction with different artificial intelligence models. Proceedings of the European wind energy conference, EWEC2007, Milan, Italy; 2007.
10.1016/j.ijforecast.2008.08.007 / International Journal of Forecasting / Short-term wind power forecasting using evolutionary algorithms for the automated specification of artificial intelligence models by Jursa (2008)
Juban J, Fugon L and Kariniotakis G. Uncertainty estimation of wind power forecasts. Proceedings of the European wind energy conference, EWEC2008, Brussels, Belgium; 2008.
10.1016/j.renene.2003.11.009 / Renewable Energy / Support vector machines for wind speed prediction by Mohandes (2004)
10.1109/TEC.2008.2006552 / IEEE Transactions on Energy Conversions / Short-term prediction of wind farm power: a data mining approach by Kusiak (2009)
10.1002/we.179 / Wind Energy / Short-term wind forecasting using off-site observations by Larson (2006)
Goh SL, Popovic DH, Mandic DP. Complex-valued estimation of wind profile and wind power. Proceedings of the 12th IEEE Mediterranean electrotechnical conference, MELECON 2004, Dubrovnik, Croatia; 2004.
10.1016/j.renene.2008.03.022 / Renewable Energy / Complex-valued prediction of wind profile using augmented complex statistics by Mandic (2009)
Negnevitsky M, Johnson P and Santoso S. Short-term wind power forecasting using hybrid intelligent systems. Proceedings of the IEEE power engineering society general meeting, Tampa, Florida, USA; 2007. (10.1109/PES.2007.385453)
10.1109/TEC.2003.821865 / IEEE Transactions on Energy Conversion / A fuzzy model for wind speed prediction and power generation in wind parks using spatial correlation by Damousis (2004)
Pinson P and Kariniotakis G. Wind power forecasting using fuzzy neural networks enhanced with on-line prediction risk assessment. Proceedings of the IEEE power tech conference, Bologna, Italy; 2003.
Miranda MS, Dunn RW. One-hour-ahead wind speed prediction using a Bayesian methodology. Proceedings of the IEEE power engineering society general meeting, Montreal, Quebec, Canada; 2006. (10.1109/PES.2006.1709479)
10.1109/TEC.2008.2001457 / IEEE Transactions on Energy Conversion / Forecasting the wind generation using a two-Stage network based on meteorological information by Fan (2009)
Fugon L, Juban J, and Kariniotakis G. Data mining for wind power forecasting. Proceeding of the European wind energy conference, EWEC2008, Brussels, Belgium; 2008.
H. Madsen, G. Kariniotakis, H.Aa. Nielsen, T.S. Nielsen and P. Pinson, A protocol for standardizing the performance evaluation of short-term wind power prediction models, Proceedings of the global wind power 2004 conference, Chicago, Illinois, March 2004. (10.1260/030952405776234599)
10.1175/1520-0493(1989)117<0572:SSACCI>2.0.CO;2 / Monthly Weather Review / Skill scores and correlation coefficients in model verification by Murphy (1989)
10.1175/1520-0493(1987)115<1330:AGFFFV>2.0.CO;2 / Monthly Weather Review / A general framework for forecast verification by Murphy (1987)
10.1109/MPE.2008.931492 / IEEE Power & Energy Magazine / Mighty wind – integrating wind energy into the electric power system is already generating excitement by Smith (2009)
Ahlstrom ML and Zavadil RM. The role of wind forecasting in grid operations & reliability. Proceedings of the IEEE PES transmission and distribution conference & exhibition, Asia and Pacific, Dalian, China; 2005.
10.1109/MPE.2009.934658 / IEEE Power & Energy Magazine / Where the Wind Blows by Ackermann (2009)
{'key': '10.1016/j.renene.2011.05.033_bib57', 'series-title': 'EirGrid and SONI scheduling & dispatch workshop', 'author': 'O’Donnell', 'year': '2008'} / EirGrid and SONI scheduling & dispatch workshop by O’Donnell (2008)
{'key': '10.1016/j.renene.2011.05.033_bib58', 'series-title': 'Development of a next generation wind resource forecasting system for the large-scale integration of onshore and offShore wind', 'author': 'Anemos', 'year': '2010'} / Development of a next generation wind resource forecasting system for the large-scale integration of onshore and offShore wind by Anemos (2010)
Kariniotakis G, Martí I, Casas D, Pinson P, Nielsen TS, Madsen H, et al. What performance can be expected by short-term wind power prediction models depending on site characteristics? Proceedings of the European wind energy association conference, EWEC2004, London, U.K.; 2004.
{'key': '10.1016/j.renene.2011.05.033_bib60', 'series-title': 'Avanzando en la gestionabilidad (Advancing in Manageability)', 'author': 'Ceña', 'year': '2006'} / Avanzando en la gestionabilidad (Advancing in Manageability) by Ceña (2006)
{'key': '10.1016/j.renene.2011.05.033_bib61', 'series-title': 'Collaborative project funded by the European Commission (EC) under the 7th framework program', 'author': 'Project', 'year': '2010'} / Collaborative project funded by the European Commission (EC) under the 7th framework program by Project (2010)
10.1016/S0378-7796(03)00050-6 / Electric Power Systems Research / Value of combining energy storage and wind in short-term energy and balancing markets by Bathhurst (2003)
Gubina AF, Keane A, Meibom P, O’Sullivan J, Goulding O, McCartan T and et al. New tool for integration of wind power forecasting into system Operation. Proceedings of the IEEE Bucharest power tech conference, Bucharest, Romania; 2009. (10.1109/PTC.2009.5281936)
Miranda V, Bessa R, Gama J, Conzelmann G and Botterud A. New Concepts in wind power forecasting models. Proceedings of the wind power 2009 conference and exhibition, Chicago, Ill, USA; 2009.
10.1016/j.enconman.2004.11.004 / Energy Conversion and Management / Influence of the data sampling interval in the estimation of the parameters of the Weibull wind speed probability density distribution: a case study by Ramìrez (2005)
10.1049/pe:20050208 / IEE Power Engineer / Fresh Forecasts [wind power forecasting] by Watson (2005)
10.1049/ip-gtd:19941215 / Transmission and Distribution / Application of wind speed forecasting to the integration of wind energy into large scale power systems. IEE Proceedings of generation by Watson (1994)
10.1002/we.181 / Wind Energy / Validation of wind speed prediction methods at offshore sites by McQueen (2006)

Dates

Type	When
Created	14 years, 1 month ago (July 5, 2011, 2:53 a.m.)
Deposited	1 year, 4 months ago (April 8, 2024, 9:34 a.m.)
Indexed	1 hour, 6 minutes ago (Aug. 26, 2025, 3:18 a.m.)
Issued	13 years, 7 months ago (Jan. 1, 2012)
Published	13 years, 7 months ago (Jan. 1, 2012)
Published Print	13 years, 7 months ago (Jan. 1, 2012)

Funders 0

None

BibTeX

@article{Foley_2012, title={Current methods and advances in forecasting of wind power generation}, volume={37}, ISSN={0960-1481}, url={http://dx.doi.org/10.1016/j.renene.2011.05.033}, DOI={10.1016/j.renene.2011.05.033}, number={1}, journal={Renewable Energy}, publisher={Elsevier BV}, author={Foley, Aoife M. and Leahy, Paul G. and Marvuglia, Antonino and McKeogh, Eamon J.}, year={2012}, month=jan, pages={1–8} }

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    {
      "key": "10.1016/j.renene.2011.05.033_bib21",
      "unstructured": "Costello R, McCoy D, O\u2019Donnell P, Dutton AG, Kariniotakis GN. Potential benefits of wind forecasting and the application of more-Care in Ireland. Proceedings of the 3rd MED power conference 2002, Athens, Greece; 2002."
    },
    {
      "key": "10.1016/j.renene.2011.05.033_bib22",
      "doi-asserted-by": "crossref",
      "first-page": "23",
      "DOI": "10.1002/(SICI)1099-1824(199809)1:1<23::AID-WE9>3.0.CO;2-9",
      "article-title": "Mathematical look at a physical power prediction model",
      "volume": "1",
      "author": "Landberg",
      "year": "1998",
      "journal-title": "Wind Energy"
    },
    {
      "issue": "3",
      "key": "10.1016/j.renene.2011.05.033_bib23",
      "doi-asserted-by": "crossref",
      "first-page": "261",
      "DOI": "10.1002/we.94",
      "article-title": "Wind resource estimation - an overview",
      "volume": "6",
      "author": "Landberg",
      "year": "2003",
      "journal-title": "Wind Energy"
    },
    {
      "issue": "6",
      "key": "10.1016/j.renene.2011.05.033_bib24",
      "doi-asserted-by": "crossref",
      "first-page": "1251",
      "DOI": "10.1016/j.renene.2007.08.013",
      "article-title": "Wind speed spatial estimation for energy planning in Sicily: a neural kriging application",
      "volume": "33",
      "author": "Cellura",
      "year": "2008",
      "journal-title": "Renewable Energy"
    },
    {
      "key": "10.1016/j.renene.2011.05.033_bib25",
      "doi-asserted-by": "crossref",
      "first-page": "43",
      "DOI": "10.1080/01425918508914383",
      "article-title": "Wind energy estimation and siting in complex terrain",
      "volume": "3",
      "author": "Lalas",
      "year": "1985",
      "journal-title": "International Journal Solar Energy"
    },
    {
      "key": "10.1016/j.renene.2011.05.033_bib26",
      "doi-asserted-by": "crossref",
      "first-page": "177",
      "DOI": "10.1007/BF00121954",
      "article-title": "Mass consistent models for wind distribution in complex terrain - fast algorithms for three dimensional problems",
      "volume": "30",
      "author": "Dinar",
      "year": "1984",
      "journal-title": "Boundary Layer Meteorology"
    },
    {
      "key": "10.1016/j.renene.2011.05.033_bib27",
      "unstructured": "Magnusson M and Wern L, Wind energy predictions using CFD and HIRLAM forecast. Proceedings of the European wind energy conference EWEC2001, Copenhagen, Denmark; 2001."
    },
    {
      "issue": "8",
      "key": "10.1016/j.renene.2011.05.033_bib28",
      "doi-asserted-by": "crossref",
      "first-page": "1203",
      "DOI": "10.1175/1520-0450(1972)011<1203:TUOMOS>2.0.CO;2",
      "article-title": "The use of Model Output Statistics (MOS) in objective weather forecasting",
      "volume": "11",
      "author": "Glahn",
      "year": "1972",
      "journal-title": "Journal of Applied Meteorology"
    },
    {
      "issue": "1",
      "key": "10.1016/j.renene.2011.05.033_bib29",
      "doi-asserted-by": "crossref",
      "first-page": "65",
      "DOI": "10.1016/j.solener.2004.09.013",
      "article-title": "Forecast of hourly averages wind speed with ARMA models in Navarre",
      "volume": "79",
      "author": "Torres",
      "year": "2005",
      "journal-title": "Solar Energy"
    },
    {
      "key": "10.1016/j.renene.2011.05.033_bib30",
      "doi-asserted-by": "crossref",
      "first-page": "1450",
      "DOI": "10.1109/TPWRS.2006.879246",
      "article-title": "Grey predictor for wind energy conversion systems output power prediction",
      "volume": "21",
      "author": "El-Fouly",
      "year": "2006",
      "journal-title": "IEEE Transactions on Power System"
    },
    {
      "key": "10.1016/j.renene.2011.05.033_bib31",
      "unstructured": "Damousis IG and Dokopoulos P. A fuzzy model expert system for the forecasting of wind speed and power generation in wind farms. Proceedings of the IEEE international conference on power industry computer applications PICA 01; 2001."
    },
    {
      "key": "10.1016/j.renene.2011.05.033_bib32",
      "doi-asserted-by": "crossref",
      "unstructured": "Herv\u00e1s-Mart\u00ednez C, Guti\u00e9rrez PA, Fern\u00e1ndez JC, Salcedo-Sanz S, Portilla-Figueras A, P\u00e9rez-Bellido A and et\u00a0al. Hyperbolic tangent basis function neural networks training by hybrid evolutionary programming for accurate short-term wind speed prediction. Proceedings of the 9th international conference on intelligent systems design and applications, Pisa, Italy; 2009.",
      "DOI": "10.1109/ISDA.2009.30"
    },
    {
      "issue": "24",
      "key": "10.1016/j.renene.2011.05.033_bib33",
      "doi-asserted-by": "crossref",
      "first-page": "5775",
      "DOI": "10.1016/j.ins.2007.05.024",
      "article-title": "Locally recurrent neural networks for wind speed prediction using spatial correlation",
      "volume": "177",
      "author": "Barbounis",
      "year": "2007",
      "journal-title": "Information Sciences"
    },
    {
      "key": "10.1016/j.renene.2011.05.033_bib34",
      "doi-asserted-by": "crossref",
      "unstructured": "Welch RL, Ruffing SM, Venayagamoorthy GK. Comparison of feedforward and feedback neural network architectures for short-term wind speed prediction. Proceedings of international joint conference on neural networks, Atlanta, Georgia, USA; 2009.",
      "DOI": "10.1109/IJCNN.2009.5179034"
    },
    {
      "key": "10.1016/j.renene.2011.05.033_bib35",
      "doi-asserted-by": "crossref",
      "first-page": "1848",
      "DOI": "10.1016/j.renene.2008.11.014",
      "article-title": "Comparison of two new short-term wind-power forecasting systems",
      "volume": "34",
      "author": "Ramirez-Rosado",
      "year": "2009",
      "journal-title": "Renewable Energy"
    },
    {
      "key": "10.1016/j.renene.2011.05.033_bib36",
      "doi-asserted-by": "crossref",
      "unstructured": "Mori H and Umezawa Y. Application of NB tree to selection of meteorological variables in wind speed prediction. Proceedings of the IEEE transmission & distribution conference & exposition, Asia and Pacific; 2009.",
      "DOI": "10.1109/TD-ASIA.2009.5356831"
    },
    {
      "key": "10.1016/j.renene.2011.05.033_bib37",
      "unstructured": "Jursa R. Wind power prediction with different artificial intelligence models. Proceedings of the European wind energy conference, EWEC2007, Milan, Italy; 2007."
    },
    {
      "issue": "4",
      "key": "10.1016/j.renene.2011.05.033_bib38",
      "doi-asserted-by": "crossref",
      "first-page": "694",
      "DOI": "10.1016/j.ijforecast.2008.08.007",
      "article-title": "Short-term wind power forecasting using evolutionary algorithms for the automated specification of artificial intelligence models",
      "volume": "24",
      "author": "Jursa",
      "year": "2008",
      "journal-title": "International Journal of Forecasting"
    },
    {
      "key": "10.1016/j.renene.2011.05.033_bib39",
      "unstructured": "Juban J, Fugon L and Kariniotakis G. Uncertainty estimation of wind power forecasts. Proceedings of the European wind energy conference, EWEC2008, Brussels, Belgium; 2008."
    },
    {
      "issue": "6",
      "key": "10.1016/j.renene.2011.05.033_bib40",
      "doi-asserted-by": "crossref",
      "first-page": "939",
      "DOI": "10.1016/j.renene.2003.11.009",
      "article-title": "Support vector machines for wind speed prediction",
      "volume": "29",
      "author": "Mohandes",
      "year": "2004",
      "journal-title": "Renewable Energy"
    },
    {
      "issue": "1",
      "key": "10.1016/j.renene.2011.05.033_bib41",
      "doi-asserted-by": "crossref",
      "first-page": "125",
      "DOI": "10.1109/TEC.2008.2006552",
      "article-title": "Short-term prediction of wind farm power: a data mining approach",
      "volume": "24",
      "author": "Kusiak",
      "year": "2009",
      "journal-title": "IEEE Transactions on Energy Conversions"
    },
    {
      "issue": "1\u20132",
      "key": "10.1016/j.renene.2011.05.033_bib42",
      "doi-asserted-by": "crossref",
      "first-page": "55",
      "DOI": "10.1002/we.179",
      "article-title": "Short-term wind forecasting using off-site observations",
      "volume": "9",
      "author": "Larson",
      "year": "2006",
      "journal-title": "Wind Energy"
    },
    {
      "key": "10.1016/j.renene.2011.05.033_bib43",
      "unstructured": "Goh SL, Popovic DH, Mandic DP. Complex-valued estimation of wind profile and wind power. Proceedings of the 12th IEEE Mediterranean electrotechnical conference, MELECON 2004, Dubrovnik, Croatia; 2004."
    },
    {
      "issue": "1",
      "key": "10.1016/j.renene.2011.05.033_bib44",
      "doi-asserted-by": "crossref",
      "first-page": "196",
      "DOI": "10.1016/j.renene.2008.03.022",
      "article-title": "Complex-valued prediction of wind profile using augmented complex statistics",
      "volume": "34",
      "author": "Mandic",
      "year": "2009",
      "journal-title": "Renewable Energy"
    },
    {
      "key": "10.1016/j.renene.2011.05.033_bib45",
      "doi-asserted-by": "crossref",
      "unstructured": "Negnevitsky M, Johnson P and Santoso S. Short-term wind power forecasting using hybrid intelligent systems. Proceedings of the IEEE power engineering society general meeting, Tampa, Florida, USA; 2007.",
      "DOI": "10.1109/PES.2007.385453"
    },
    {
      "issue": "2",
      "key": "10.1016/j.renene.2011.05.033_bib46",
      "doi-asserted-by": "crossref",
      "first-page": "352",
      "DOI": "10.1109/TEC.2003.821865",
      "article-title": "A\u00a0fuzzy model for wind speed prediction and power generation in wind parks using spatial correlation",
      "volume": "19",
      "author": "Damousis",
      "year": "2004",
      "journal-title": "IEEE Transactions on Energy Conversion"
    },
    {
      "key": "10.1016/j.renene.2011.05.033_bib47",
      "unstructured": "Pinson P and Kariniotakis G. Wind power forecasting using fuzzy neural networks enhanced with on-line prediction risk assessment. Proceedings of the IEEE power tech conference, Bologna, Italy; 2003."
    },
    {
      "key": "10.1016/j.renene.2011.05.033_bib48",
      "doi-asserted-by": "crossref",
      "unstructured": "Miranda MS, Dunn RW. One-hour-ahead wind speed prediction using a Bayesian methodology. Proceedings of the IEEE power engineering society general meeting, Montreal, Quebec, Canada; 2006.",
      "DOI": "10.1109/PES.2006.1709479"
    },
    {
      "issue": "2",
      "key": "10.1016/j.renene.2011.05.033_bib49",
      "doi-asserted-by": "crossref",
      "first-page": "474",
      "DOI": "10.1109/TEC.2008.2001457",
      "article-title": "Forecasting the wind generation using a two-Stage network based on meteorological information",
      "volume": "24",
      "author": "Fan",
      "year": "2009",
      "journal-title": "IEEE Transactions on Energy Conversion"
    },
    {
      "key": "10.1016/j.renene.2011.05.033_bib50",
      "unstructured": "Fugon L, Juban J, and Kariniotakis G. Data mining for wind power forecasting. Proceeding of the European wind energy conference, EWEC2008, Brussels, Belgium; 2008."
    },
    {
      "key": "10.1016/j.renene.2011.05.033_bib51",
      "doi-asserted-by": "crossref",
      "unstructured": "H. Madsen, G. Kariniotakis, H.Aa. Nielsen, T.S. Nielsen and P. Pinson, A protocol for standardizing the performance evaluation of short-term wind power prediction models, Proceedings of the global wind power 2004 conference, Chicago, Illinois, March 2004.",
      "DOI": "10.1260/030952405776234599"
    },
    {
      "key": "10.1016/j.renene.2011.05.033_bib52",
      "doi-asserted-by": "crossref",
      "first-page": "572",
      "DOI": "10.1175/1520-0493(1989)117<0572:SSACCI>2.0.CO;2",
      "article-title": "Skill scores and correlation coefficients in model verification",
      "volume": "117",
      "author": "Murphy",
      "year": "1989",
      "journal-title": "Monthly Weather Review"
    },
    {
      "key": "10.1016/j.renene.2011.05.033_bib53",
      "doi-asserted-by": "crossref",
      "first-page": "1330",
      "DOI": "10.1175/1520-0493(1987)115<1330:AGFFFV>2.0.CO;2",
      "article-title": "A\u00a0general framework for forecast verification",
      "volume": "115",
      "author": "Murphy",
      "year": "1987",
      "journal-title": "Monthly Weather Review"
    },
    {
      "key": "10.1016/j.renene.2011.05.033_bib54",
      "doi-asserted-by": "crossref",
      "first-page": "41",
      "DOI": "10.1109/MPE.2008.931492",
      "article-title": "Mighty wind \u2013 integrating wind energy into the electric power system is already generating excitement",
      "volume": "7",
      "author": "Smith",
      "year": "2009",
      "journal-title": "IEEE Power & Energy Magazine"
    },
    {
      "key": "10.1016/j.renene.2011.05.033_bib55",
      "unstructured": "Ahlstrom ML and Zavadil RM. The role of wind forecasting in grid operations & reliability. Proceedings of the IEEE PES transmission and distribution conference & exhibition, Asia and Pacific, Dalian, China; 2005."
    },
    {
      "issue": "6",
      "key": "10.1016/j.renene.2011.05.033_bib56",
      "doi-asserted-by": "crossref",
      "first-page": "65",
      "DOI": "10.1109/MPE.2009.934658",
      "article-title": "Where the Wind Blows",
      "volume": "7",
      "author": "Ackermann",
      "year": "2009",
      "journal-title": "IEEE Power & Energy Magazine"
    },
    {
      "key": "10.1016/j.renene.2011.05.033_bib57",
      "series-title": "EirGrid and SONI scheduling & dispatch workshop",
      "author": "O\u2019Donnell",
      "year": "2008"
    },
    {
      "key": "10.1016/j.renene.2011.05.033_bib58",
      "series-title": "Development of a next generation wind resource forecasting system for the large-scale integration of onshore and offShore wind",
      "author": "Anemos",
      "year": "2010"
    },
    {
      "key": "10.1016/j.renene.2011.05.033_bib59",
      "unstructured": "Kariniotakis G, Mart\u00ed I, Casas D, Pinson P, Nielsen TS, Madsen H, et\u00a0al. What performance can be expected by short-term wind power prediction models depending on site characteristics? Proceedings of the European wind energy association conference, EWEC2004, London, U.K.; 2004."
    },
    {
      "key": "10.1016/j.renene.2011.05.033_bib60",
      "series-title": "Avanzando en la gestionabilidad (Advancing in Manageability)",
      "author": "Ce\u00f1a",
      "year": "2006"
    },
    {
      "key": "10.1016/j.renene.2011.05.033_bib61",
      "series-title": "Collaborative project funded by the European Commission (EC) under the 7th framework program",
      "author": "Project",
      "year": "2010"
    },
    {
      "issue": "1",
      "key": "10.1016/j.renene.2011.05.033_bib62",
      "doi-asserted-by": "crossref",
      "first-page": "1",
      "DOI": "10.1016/S0378-7796(03)00050-6",
      "article-title": "Value of combining energy storage and wind in short-term energy and balancing markets",
      "volume": "67",
      "author": "Bathhurst",
      "year": "2003",
      "journal-title": "Electric Power Systems Research"
    },
    {
      "key": "10.1016/j.renene.2011.05.033_bib63",
      "doi-asserted-by": "crossref",
      "unstructured": "Gubina AF, Keane A, Meibom P, O\u2019Sullivan J, Goulding O, McCartan T and et\u00a0al. New tool for integration of wind power forecasting into system Operation. Proceedings of the IEEE Bucharest power tech conference, Bucharest, Romania; 2009.",
      "DOI": "10.1109/PTC.2009.5281936"
    },
    {
      "key": "10.1016/j.renene.2011.05.033_bib64",
      "unstructured": "Miranda V, Bessa R, Gama J, Conzelmann G and Botterud A. New Concepts in wind power forecasting models. Proceedings of the wind power 2009 conference and exhibition, Chicago, Ill, USA; 2009."
    },
    {
      "issue": "15\u201316",
      "key": "10.1016/j.renene.2011.05.033_bib65",
      "doi-asserted-by": "crossref",
      "first-page": "2419",
      "DOI": "10.1016/j.enconman.2004.11.004",
      "article-title": "Influence of the data sampling interval in the estimation of the parameters of the Weibull wind speed probability density distribution: a case study",
      "volume": "46",
      "author": "Ram\u00ecrez",
      "year": "2005",
      "journal-title": "Energy Conversion and Management"
    },
    {
      "issue": "2",
      "key": "10.1016/j.renene.2011.05.033_bib66",
      "doi-asserted-by": "crossref",
      "first-page": "36",
      "DOI": "10.1049/pe:20050208",
      "article-title": "Fresh Forecasts [wind power forecasting]",
      "volume": "19",
      "author": "Watson",
      "year": "2005",
      "journal-title": "IEE Power Engineer"
    },
    {
      "issue": "4",
      "key": "10.1016/j.renene.2011.05.033_bib67",
      "doi-asserted-by": "crossref",
      "first-page": "357",
      "DOI": "10.1049/ip-gtd:19941215",
      "article-title": "Application of wind speed forecasting to the integration of wind energy into large scale power systems. IEE Proceedings of generation",
      "volume": "141",
      "author": "Watson",
      "year": "1994",
      "journal-title": "Transmission and Distribution"
    },
    {
      "issue": "1\u20132",
      "key": "10.1016/j.renene.2011.05.033_bib68",
      "doi-asserted-by": "crossref",
      "first-page": "75",
      "DOI": "10.1002/we.181",
      "article-title": "Validation of wind speed prediction methods at offshore sites",
      "volume": "9",
      "author": "McQueen",
      "year": "2006",
      "journal-title": "Wind Energy"
    }
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