-
1
-
-
33845367151
-
A review of wind energy technologies
-
DOI 10.1016/j.rser.2005.08.004, PII S136403210500095X
-
G.M. Joselin Herbert, S. Iniyan, E. Sreevalsan, and S. Rajapandia A review of wind energy technologies Renew Sustain Energy Rev 11 6 2007 1117 1145 (Pubitemid 44827847)
-
(2007)
Renewable and Sustainable Energy Reviews
, vol.11
, Issue.6
, pp. 1117-1145
-
-
Joselin Herbert, G.M.1
Iniyan, S.2
Sreevalsan, E.3
Rajapandian, S.4
-
4
-
-
84905839309
-
Wind speed forecasting in the central California wind resource area
-
Burlingame, CA; March 23
-
McCarthy E. Wind speed forecasting in the central California wind resource area, EPRI-DOE-NREL Wind Energy Forecasting Meeting, Burlingame, CA; March 23, 1998.
-
(1998)
EPRI-DOE-NREL Wind Energy Forecasting Meeting
-
-
McCarthy, E.1
-
5
-
-
77956501760
-
-
Centre Bureau of Meteorology Training Melbourne: Bureau of Meteorology Training Centre
-
Centre Bureau of Meteorology Training. Meteorologist course: numerical weather prediction. Melbourne: Bureau of Meteorology Training Centre; 1994. p. 1096848.
-
(1994)
Meteorologist Course: Numerical Weather Prediction
, pp. 1096848
-
-
-
6
-
-
77957088306
-
Review of the use of Numerical Weather Prediction (NWP) models for wind energy assessment
-
S. Al-Yahyai, Y. Charabi, and A. Gastli Review of the use of Numerical Weather Prediction (NWP) models for wind energy assessment Renew Sustain Energy Rev 14 9 2010 3192 3198
-
(2010)
Renew Sustain Energy Rev
, vol.14
, Issue.9
, pp. 3192-3198
-
-
Al-Yahyai, S.1
Charabi, Y.2
Gastli, A.3
-
8
-
-
33646352206
-
Very short-term wind forecasting for Tasmanian power generation
-
C.W. Potter, and M. Negnevitsky Very short-term wind forecasting for Tasmanian power generation Power Syst 21 2 2006 965 972
-
(2006)
Power Syst
, vol.21
, Issue.2
, pp. 965-972
-
-
Potter, C.W.1
Negnevitsky, M.2
-
10
-
-
84883236134
-
A simplified risk-based method for short-term wind power commitment
-
R. Karki, S. Thapa, and R. Billinton A simplified risk-based method for short-term wind power commitment IEEE Trans on Sustain Energy 3 3 2012 498 505
-
(2012)
IEEE Trans on Sustain Energy
, vol.3
, Issue.3
, pp. 498-505
-
-
Karki, R.1
Thapa, S.2
Billinton, R.3
-
11
-
-
33947303690
-
An advanced statistical method for wind power forecasting
-
DOI 10.1109/TPWRS.2006.889078
-
G. Sideratos, and N.D. Hatziargyriou An advanced statistical method for wind power forecasting IEEE Trans Power Syst 22 1 2007 258 265 (Pubitemid 46437735)
-
(2007)
IEEE Transactions on Power Systems
, vol.22
, Issue.1
, pp. 258-265
-
-
Sideratos, G.1
Hatziargyriou, N.D.2
-
12
-
-
84893199119
-
-
IEEE Power Energy Soc Gen Meet (PES) Vancouver
-
A. Jiakun, B. Zhaohong, C. Xiaozhong, H. Bowen, and L. Shiyu A generalized data preprocessing method for wind power prediction 2013 IEEE Power Energy Soc Gen Meet (PES) Vancouver 1 5
-
(2013)
A Generalized Data Preprocessing Method for Wind Power Prediction
, pp. 1-5
-
-
Jiakun, A.1
Zhaohong, B.2
Xiaozhong, C.3
Bowen, H.4
Shiyu, L.5
-
13
-
-
61349110874
-
A review of wind speed probability distributions used in wind energy analysis: Case studies in the Canary Islands
-
J.A. Carta, P. Ramírez, and S. Velázquez A review of wind speed probability distributions used in wind energy analysis: case studies in the Canary Islands Renew Sustain Energy Rev 13 5 2009 933 955
-
(2009)
Renew Sustain Energy Rev
, vol.13
, Issue.5
, pp. 933-955
-
-
Carta, J.A.1
Ramírez, P.2
Velázquez, S.3
-
14
-
-
84876125038
-
A comparative analysis of wind power density prediction methods for ÇanakkaleIntepe region, Turkey
-
Y. Oner, S. Ozcira, N. Bekiroglu, and I. Senol A comparative analysis of wind power density prediction methods for ÇanakkaleIntepe region, Turkey Renew Sustain Energy Rev 23 2013 491 502
-
(2013)
Renew Sustain Energy Rev
, vol.23
, pp. 491-502
-
-
Oner, Y.1
Ozcira, S.2
Bekiroglu, N.3
Senol, I.4
-
15
-
-
78649936397
-
Short-horizon prediction of wind power: A data-driven approach
-
(1112, 1122)
-
A. Kusiak, and Z. Zijun Short-horizon prediction of wind power: a data-driven approach EEE Trans Energy Convers 25 4 2010 (1112, 1122)
-
(2010)
EEE Trans Energy Convers
, vol.25
, Issue.4
-
-
Kusiak, A.1
Zijun, Z.2
-
16
-
-
43649097539
-
Statistical wind power forecasting models: Results for U.S wind farms
-
Austin, Texas; May 2003
-
Milligan M, Schwartz M, Wan Y. Statistical wind power forecasting models: results for U.S. wind farms, presented at WINDPOWER 2003, Austin, Texas; May 2003.
-
WINDPOWER 2003
-
-
Milligan, M.1
Schwartz, M.2
Wan, Y.3
-
18
-
-
77951665319
-
ARIMA-based time series model of stochastic wind power generation
-
P. Chen, T. Pedersen, B. Bak-Jensen, and Z. Chen ARIMA-based time series model of stochastic wind power generation IEEE Trans Power Syst 25 2 2010 667 676
-
(2010)
IEEE Trans Power Syst
, vol.25
, Issue.2
, pp. 667-676
-
-
Chen, P.1
Pedersen, T.2
Bak-Jensen, B.3
Chen, Z.4
-
19
-
-
58949103845
-
Day-ahead wind speed forecasting using f-ARIMA models
-
G.K. Rajesh, and K. Seetharaman Day-ahead wind speed forecasting using f-ARIMA models J Renew Energy 34 2009 1388 1393
-
(2009)
J Renew Energy
, vol.34
, pp. 1388-1393
-
-
Rajesh, G.K.1
Seetharaman, K.2
-
20
-
-
43049128559
-
A review on the young history of the wind power short-term prediction
-
DOI 10.1016/j.rser.2007.01.015, PII S1364032107000354
-
A. Costa, A. Crespo, J. Navarro, G. Lizcano, H. Madsen, and E. Feitosa A review on the young history of the wind power short-term prediction Renew Sustain Energy Rev 12 6 2008 1725 1744 (Pubitemid 351626911)
-
(2008)
Renewable and Sustainable Energy Reviews
, vol.12
, Issue.6
, pp. 1725-1744
-
-
Costa, A.1
Crespo, A.2
Navarro, J.3
Lizcano, G.4
Madsen, H.5
Feitosa, E.6
-
23
-
-
80053637713
-
A study on wind speed prediction using artificial neural network at Jeju Island in Korea II
-
Zhang F, Cho K, Choi J, Lee YM, Lee KY. A study on wind speed prediction using artificial neural network at Jeju Island in Korea II. In: Proceedings of the IEEE 54th international midwest symposium circuits and systems (MWSCAS); 2011. p. 1-4.
-
(2011)
Proceedings of the IEEE 54th International Midwest Symposium Circuits and Systems (MWSCAS)
, pp. 1-4
-
-
Zhang, F.1
Cho, K.2
Choi, J.3
Lee, Y.M.4
Lee, K.Y.5
-
25
-
-
84865066027
-
Wind forecasting and wind power generation: Looking for the best model based on artificial intelligence
-
de Aquino RRB, Gouveia HTV, Lira MMS, Ferreira AA, Neto ON, Carvalho MA. Wind forecasting and wind power generation: looking for the best model based on artificial intelligence. In: Proceedings of the international joint conference on neural networks (IJCNN); 2012. p. 1-8.
-
(2012)
Proceedings of the International Joint Conference on Neural Networks (IJCNN)
, pp. 1-8
-
-
De Aquino Rrb1
Htv, G.2
Mms, L.3
Ferreira, A.A.4
Neto, O.N.5
Carvalho, M.A.6
-
26
-
-
38349108557
-
Analysis of wind power generation and prediction using ANN: A case study
-
M. Carolin Mabel, and E. Fernandez Analysis of wind power generation and prediction using ANN: a case study J Renew Energy 33 2008 986 992
-
(2008)
J Renew Energy
, vol.33
, pp. 986-992
-
-
Carolin Mabel, M.1
Fernandez, E.2
-
27
-
-
0036779031
-
A novel approach for the forecasting of mean hourly wind speed time series
-
A. Steftos A novel approach for the forecasting of mean hourly wind speed time series J Renew Energy 27 2002 163 174
-
(2002)
J Renew Energy
, vol.27
, pp. 163-174
-
-
Steftos, A.1
-
28
-
-
58149474856
-
Accurate short term wind speed prediction by exploiting diversity in input data using banks of artificial neural networks
-
S. Salcedo-Sanz, Bellido, Garcia, Figuras, L. Prieto, and F. Correoso Accurate short term wind speed prediction by exploiting diversity in input data using banks of artificial neural networks J Neurocomput 71 2009 1336 1341
-
(2009)
J Neurocomput
, vol.71
, pp. 1336-1341
-
-
Salcedo-Sanz, S.1
Bellido2
Garcia3
Figuras4
Prieto, L.5
Correoso, F.6
-
31
-
-
78649929820
-
Wind speed forecasting of genetic neural model based on rough set theory
-
S. Guo, Y. Li, and S. Xiao Wind speed forecasting of genetic neural model based on rough set theory Crit Infrastruct (CRIS) 2010 1 6
-
(2010)
Crit Infrastruct (CRIS)
, pp. 1-6
-
-
Guo, S.1
Li, Y.2
Xiao, S.3
-
34
-
-
2942570109
-
A fuzzy model for wind speed prediction and power generation in wind parks using spatial correlation
-
I. Damousis, M.C. Alexiadis, J.B. Theocharis, and P.S. Dokopoulos A fuzzy model for wind speed prediction and power generation in wind parks using spatial correlation IEEE Trans Energy Convers 19 2004 352 360
-
(2004)
IEEE Trans Energy Convers
, vol.19
, pp. 352-360
-
-
Damousis, I.1
Alexiadis, M.C.2
Theocharis, J.B.3
Dokopoulos, P.S.4
-
35
-
-
33847369874
-
A locally recurrent fuzzy neural network with application to the wind speed prediction using spatial correlation
-
DOI 10.1016/j.neucom.2006.01.032, PII S0925231206002505, Advances in Computational Intelligence and Learning 14th European Symposium on Artificial Neural Networks 2006
-
T.G. Barbounis, and J.B. Theocharis A locally recurrent fuzzy neural network with application to wind speed prediction using spatial correlation J Neurocomput 70 2007 1525 1542 (Pubitemid 46336755)
-
(2007)
Neurocomputing
, vol.70
, Issue.7-9
, pp. 1525-1542
-
-
Barbounis, T.G.1
Theocharis, J.B.2
-
37
-
-
84883236134
-
A simplified risk-based method for short-term wind power commitment
-
R. Karki, S. Thapa, and R. Billinton A simplified risk-based method for short-term wind power commitment IEEE Trans Sustain Energy 3 3 2012 498 505
-
(2012)
IEEE Trans Sustain Energy
, vol.3
, Issue.3
, pp. 498-505
-
-
Karki, R.1
Thapa, S.2
Billinton, R.3
-
39
-
-
84881341396
-
Wind power grouping forecasts and its uncertainty analysis using optimized relevance vector machine
-
J. Yan, Y. Liu, S. Han, and M. Qiu Wind power grouping forecasts and its uncertainty analysis using optimized relevance vector machine Renew and Sustain Energy Rev 27 2013 613 621
-
(2013)
Renew and Sustain Energy Rev
, vol.27
, pp. 613-621
-
-
Yan, J.1
Liu, Y.2
Han, S.3
Qiu, M.4
-
40
-
-
78751555576
-
Performance evaluation of short-term wind speed prediction techniques
-
Sreelakshmi, and R. Kumar Performance evaluation of short-term wind speed prediction techniques Int J Comput Sci Netw Secur 8 8 2008 162 169
-
(2008)
Int J Comput Sci Netw Secur
, vol.8
, Issue.8
, pp. 162-169
-
-
Sreelakshmi1
Kumar, R.2
-
42
-
-
84862729690
-
A new strategy for predicting short-term wind speed using soft computing models
-
A.U. Haque, P. Mandal, M.E. Kaye, J. Meng, L. Chang, and T. Senjyu A new strategy for predicting short-term wind speed using soft computing models Renew Sustain Energy Rev 16 7 2012 4563 4573
-
(2012)
Renew Sustain Energy Rev
, vol.16
, Issue.7
, pp. 4563-4573
-
-
Haque, A.U.1
Mandal, P.2
Kaye, M.E.3
Meng, J.4
Chang, L.5
Senjyu, T.6
-
50
-
-
33750122966
-
Locally recurrent neural networks optimal filtering algorithms: Application to wind speed prediction using spatial correlation
-
DOI 10.1109/IJCNN.2005.1556353, 1556353, Proceedings of the International Joint Conference on Neural Networks, IJCNN 2005
-
T.G. Barbounis, and J.B. Theocharis Locally recurrent neural networks optimal filtering algorithms: application to wind speed prediction using spatial correlation IEEE Int Joint Conf Neural Netw 5 2005 2711 2716 (Pubitemid 44591630)
-
(2005)
Proceedings of the International Joint Conference on Neural Networks
, vol.5
, pp. 2711-2716
-
-
Barbounis, T.G.1
Theocharis, J.B.2
-
51
-
-
84888880426
-
Probabilistic assessment of available transfer capability considering spatial correlation in wind power integrated system
-
L. Gang, C. Jinfu, C. Defu, S. Dongyuan, and D. Xianzhong Probabilistic assessment of available transfer capability considering spatial correlation in wind power integrated system IET Gener Transm Distrib 7 12 2013 1527 1535
-
(2013)
IET Gener Transm Distrib
, vol.7
, Issue.12
, pp. 1527-1535
-
-
Gang, L.1
Jinfu, C.2
Defu, C.3
Dongyuan, S.4
Xianzhong, D.5
-
52
-
-
84892569845
-
Short-term wind power ensemble prediction based on gaussian processes and neural networks
-
D. Lee, and R. Baldick Short-term wind power ensemble prediction based on gaussian processes and neural networks IEEE Trans Smart Grid 5 1 2014 501 510
-
(2014)
IEEE Trans Smart Grid
, vol.5
, Issue.1
, pp. 501-510
-
-
Lee, D.1
Baldick, R.2
-
53
-
-
79955830495
-
Neural network ensemble method study for wind power prediction
-
(25-28)
-
S. Han, Y. Liu, and J. Yan Neural network ensemble method study for wind power prediction Power and Energy Eng Conf (APPEEC) 2011 1 4 (25-28)
-
(2011)
Power and Energy Eng Conf (APPEEC)
, pp. 1-4
-
-
Han, S.1
Liu, Y.2
Yan, J.3
-
54
-
-
84864143531
-
Short-term wind-power prediction based on wavelet transform - Support vector and statistic-characteristics analysis
-
L. Yongqian, J. Shi, Y. Yang, and W.J. Lee Short-term wind-power prediction based on wavelet transform - support vector and statistic- characteristics analysis IEEE Trans Ind Appl 48 4 2012 1136 1141
-
(2012)
IEEE Trans Ind Appl
, vol.48
, Issue.4
, pp. 1136-1141
-
-
Yongqian, L.1
Shi, J.2
Yang, Y.3
Lee, W.J.4
-
59
-
-
79959557168
-
Wind power prediction by a new forecast engine composed of modified hybrid neural network and enhanced particle swarm optimization
-
N. Amjady, F. Keynia, and H. Zareipour Wind power prediction by a new forecast engine composed of modified hybrid neural network and enhanced particle swarm optimization IEEE Trans Sustain Energy 2 3 2011 265 276
-
(2011)
IEEE Trans Sustain Energy
, vol.2
, Issue.3
, pp. 265-276
-
-
Amjady, N.1
Keynia, F.2
Zareipour, H.3
-
60
-
-
84860776112
-
Short-term wind power prediction based on combined Grey-Markov model
-
C. Sheng, Y. Lin, Z. Gengwu, Z. Cheng, D. Shijun, and D. Chao Short-term wind power prediction based on combined Grey-Markov model 2011 Int Conf Adv Power Syst Autom Prot (APAP) 3 2011 1705 1711
-
(2011)
2011 Int Conf Adv Power Syst Autom Prot (APAP)
, vol.3
, pp. 1705-1711
-
-
Sheng, C.1
Lin, Y.2
Gengwu, Z.3
Cheng, Z.4
Shijun, D.5
Chao, D.6
-
61
-
-
84886595586
-
Hybrid control of a wind induction generator based on Grey-Elman neural network
-
W.M. Lin, C.M. Hong, C.H. Huang, and T.C. Ou Hybrid control of a wind induction generator based on Grey-Elman neural network IEEE Trans Control Syst Technol 21 6 2013 2367 2373
-
(2013)
IEEE Trans Control Syst Technol
, vol.21
, Issue.6
, pp. 2367-2373
-
-
Lin, W.M.1
Hong, C.M.2
Huang, C.H.3
Ou, T.C.4
-
63
-
-
79961127156
-
Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model
-
Z. Guo, W. Zhao, H. Lu, and J. Wang Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model Renew Energy 37 1 2012 241 249
-
(2012)
Renew Energy
, vol.37
, Issue.1
, pp. 241-249
-
-
Guo, Z.1
Zhao, W.2
Lu, H.3
Wang, J.4
-
65
-
-
35949006791
-
Determining embedding dimension for phase-space reconstruction using a geometrical construction
-
H.D.I. Abarbanel, R. Brown, and M.B. Kennel Determining embedding dimension for phase-space reconstruction using a geometrical construction Phys Rev A 45 1992 3403 3411
-
(1992)
Phys Rev A
, vol.45
, pp. 3403-3411
-
-
Abarbanel, H.D.I.1
Brown, R.2
Kennel, M.B.3
-
66
-
-
44049111332
-
Testing for nonlinearity in time-series: The method of surrogate data
-
S. Eubank, J.D. Farmer, B. Galdrikian, A. Longtin, and J. Theiler Testing for nonlinearity in time-series: the method of surrogate data Physica D 58 1992 77 94
-
(1992)
Physica D
, vol.58
, pp. 77-94
-
-
Eubank, S.1
Farmer, J.D.2
Galdrikian, B.3
Longtin, A.4
Theiler, J.5
-
68
-
-
0004086787
-
A study in the analysis of stationary time series
-
(2nd ed.)
-
H. Wold A study in the analysis of stationary time series Uppsala, Almqvist & Wiksell 1938 1954 (2nd ed.)
-
(1938)
Uppsala, Almqvist & Wiksell
, pp. 1954
-
-
Wold, H.1
-
70
-
-
0011870081
-
Nonlinear time series analysis
-
J.A.K. Suykens, J. Vandewalle, Kluwer Academic Publishers Boston
-
U. Parlitz Nonlinear time series analysis J.A.K. Suykens, J. Vandewalle, Nonlinear modeling - advanced black-box techniques 1998 Kluwer Academic Publishers Boston 256
-
(1998)
Nonlinear Modeling - Advanced Black-box Techniques
, pp. 256
-
-
Parlitz, U.1
-
72
-
-
53549085250
-
-
DPI Go
-
Parlitz U, Wedekind I, Lauterborn W, Merkwirthttingen C. TSTOOL and User Manual, Ver. 1.11, DPI Go; 2001. Available: (http://www.physik3.gwdg.de/tstool).
-
(2001)
TSTOOL and User Manual, Ver. 1.11
-
-
Parlitz, U.1
Wedekind, I.2
Lauterborn, W.3
Merkwirthttingen, C.4
-
73
-
-
0001874436
-
Practical method for determining the minimum embedding dimension of a scalar time series
-
PII S0167278997001188
-
L. Cao Practical method for determining the minimum embedding dimension of a scalar time series Physica D 110 1997 43 50 (Pubitemid 127701588)
-
(1997)
Physica D: Nonlinear Phenomena
, vol.110
, Issue.1-2
, pp. 43-50
-
-
Cao, L.1
-
74
-
-
6144236430
-
Improved surrogate data for nonlinearity tests
-
A. Schmitz, and T. Schreiber Improved surrogate data for nonlinearity tests Phys Rev Lett 77 1996 635 638 (Pubitemid 126624517)
-
(1996)
Physical Review Letters
, vol.77
, Issue.4
, pp. 635-638
-
-
Schreiber, T.1
Schmitz, A.2
-
77
-
-
0001829246
-
Introduction to Grey system theory
-
D. Julong Introduction to Grey system theory J Grey Syst 1 1989 1 24
-
(1989)
J Grey Syst
, vol.1
, pp. 1-24
-
-
Julong, D.1
-
79
-
-
5444236478
-
The empirical mode decomposition and the Hubert spectrum for nonlinear and non-stationary time series analysis
-
N.E. Huang, Z. Shen, and S.R. Long The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis Proc R Soc Lond A 45 4 1998 903 995 (Pubitemid 128733183)
-
(1998)
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
, vol.454
, Issue.1971
, pp. 903-995
-
-
Huang, N.E.1
Shen, Z.2
Long, S.R.3
Wu, M.C.4
Snin, H.H.5
Zheng, Q.6
Yen, N.-C.7
Tung, C.C.8
Liu, H.H.9
-
80
-
-
0003733873
-
-
Prentice-Hall, Upper Saddle River NJ, USA
-
L. Cohen Time-frequency analysis 1995 Prentice-Hall, Upper Saddle River NJ, USA
-
(1995)
Time-frequency Analysis
-
-
Cohen, L.1
|