-
1
-
-
84879857758
-
Review of wind power prediction
-
WANG Jian, YAN Gangui, SONG Wei, et al. Review of wind power prediction[J]. Journal of Northeast Dianli University, 2011, 31(3): 20-24.
-
(2011)
Journal of Northeast Dianli University
, vol.31
, Issue.3
, pp. 20-24
-
-
Wang, J.1
Yan, G.2
Song, W.3
-
2
-
-
65549163847
-
Summarization of wind power prediction technology
-
GU Xingkai, FAN Gaofeng, WANG Xiaorong, et al. Summarization of wind power prediction technology[J]. Power System Technology, 2007, 31(2): 335-338.
-
(2007)
Power System Technology
, vol.31
, Issue.2
, pp. 335-338
-
-
Gu, X.1
Fan, G.2
Wang, X.3
-
3
-
-
84867585349
-
Overview on prediction methods of wind speed and wind power
-
HONG Cui, LIN Weiming, WEN Buying. Overview on prediction methods of wind speed and wind power[J]. Power System and Clean Energy, 2011, 27(1): 60-66.
-
(2011)
Power System and Clean Energy
, vol.27
, Issue.1
, pp. 60-66
-
-
Hong, C.1
Lin, W.2
Wen, B.3
-
5
-
-
0032122184
-
Short-term forecasting of wind speed and related electrical power
-
ALEXIADIS M U, DOKOPOULOS P S, SAHSAMANOGLOU H S. Short-term forecasting of wind speed and related electrical power[J]. Solar Energy, 1998, 63(1): 61-68.
-
(1998)
Solar Energy
, vol.63
, Issue.1
, pp. 61-68
-
-
Alexiadis, M.U.1
Dokopoulos, P.S.2
Sahsamanoglou, H.S.3
-
6
-
-
0030418613
-
Wind power forecasting using advanced networks models
-
KARINIOTAKIS G N, STAVRAKAKIS G S, NOGARET E F. Wind power forecasting using advanced networks models[J]. IEEE Trans on Energy Conversion, 1996, 11(4): 762-767.
-
(1996)
IEEE Trans on Energy Conversion
, vol.11
, Issue.4
, pp. 762-767
-
-
Kariniotakis, G.N.1
Stavrakakis, G.S.2
Nogaret, E.F.3
-
7
-
-
84859036543
-
AWNN-assisted wind power forecasting using feed-forward neural network
-
BHASKAR K, SINGH S N. AWNN-assisted wind power forecasting using feed-forward neural network[J]. IEEE Trans on Sustainable Energy, 2012, 3(2): 306-315.
-
(2012)
IEEE Trans on Sustainable Energy
, vol.3
, Issue.2
, pp. 306-315
-
-
Bhaskar, K.1
Singh, S.N.2
-
8
-
-
84864143531
-
Short-term wind-power prediction based on wavelet transform-support vector machine and statistic-characteristics analysis
-
LIU Yongqian, SHI Jie, YANG Yongping, et al. Short-term wind-power prediction based on wavelet transform-support vector machine and statistic-characteristics analysis[J]. IEEE Trans on Industry Application, 2012, 48(4): 1136-1141.
-
(2012)
IEEE Trans on Industry Application
, vol.48
, Issue.4
, pp. 1136-1141
-
-
Liu, Y.1
Shi, J.2
Yang, Y.3
-
9
-
-
57949110864
-
Wind power prediction based on artificial neural network
-
FAN Gaofeng, WANG Weisheng, LIU Chun, et al. Wind power prediction based on artificial neural network[J]. Proceedings of the CSEE, 2008, 28(34): 118-123.
-
(2008)
Proceedings of the CSEE
, vol.28
, Issue.34
, pp. 118-123
-
-
Fan, G.1
Wang, W.2
Liu, C.3
-
10
-
-
79955973407
-
Short-term wind power forecast based on ridgelet neural network
-
MAO Meiqin, ZHOU Songlin, SU Jianhui. Short-term wind power forecast based on ridgelet neural network[J]. Automation of Electric Power Systems, 2011, 35(7): 70-74.
-
(2011)
Automation of Electric Power Systems
, vol.35
, Issue.7
, pp. 70-74
-
-
Mao, M.1
Zhou, S.2
Su, J.3
-
11
-
-
0033929783
-
A new approach for wind speed prediction
-
SONG Y D. A new approach for wind speed prediction[J]. Wind Engineering, 2000, 24(1): 35-47.
-
(2000)
Wind Engineering
, vol.24
, Issue.1
, pp. 35-47
-
-
Song, Y.D.1
-
12
-
-
53649090652
-
Optimization algorithm of short-term multi-step wind speed forecast
-
PAN Difu, LIU Hui, LI Yanfei. Optimization algorithm of short-term multi-step wind speed forecast[J]. Proceedings of the CSEE, 2008, 28(26): 87-91.
-
(2008)
Proceedings of the CSEE
, vol.28
, Issue.26
, pp. 87-91
-
-
Pan, D.1
Liu, H.2
Li, Y.3
-
13
-
-
84891539637
-
-
Chinese source
-
2007: 53-54.
-
(2007)
, pp. 53-54
-
-
-
14
-
-
80052788143
-
A short-term wind power prediction method based on wavelet decomposition and BP neural network
-
SHI Hongtao, YANG Jingling, DING Maosheng, et al. A short-term wind power prediction method based on wavelet decomposition and BP neural network[J]. Automation of Electric Power Systems, 2011, 35(16): 44-48.
-
(2011)
Automation of Electric Power Systems
, vol.35
, Issue.16
, pp. 44-48
-
-
Shi, H.1
Yang, J.2
Ding, M.3
-
15
-
-
79958189257
-
A Kalman filter based correction model for short-term wind power prediction
-
ZHAO Pan, DAI Yiping, XIA Junrong, et al. A Kalman filter based correction model for short-term wind power prediction[J]. Journal of Xi'an Jiaotong University, 2011, 45(5): 47-51.
-
(2011)
Journal of Xi'an Jiaotong University
, vol.45
, Issue.5
, pp. 47-51
-
-
Zhao, P.1
Dai, Y.2
Xia, J.3
-
16
-
-
12444271036
-
A novel ARIMA approach on electricity price forecasting with the improvement of predicted error
-
ZHOU Ming, YAN Zheng, NI Yixin, et al. A novel ARIMA approach on electricity price forecasting with the improvement of predicted error[J]. Proceedings of the CSEE, 2004, 24(12): 63-68.
-
(2004)
Proceedings of the CSEE
, vol.24
, Issue.12
, pp. 63-68
-
-
Zhou, M.1
Yan, Z.2
Ni, Y.3
-
17
-
-
80053115630
-
Short-term forecasting of wind power and non-parametric confidence interval estimation
-
ZHOU Songlin, MAO Meiqin, SU Jianhui. Short-term forecasting of wind power and non-parametric confidence interval estimation[J]. Proceedings of the CSEE, 2011, 31(25): 10-16.
-
(2011)
Proceedings of the CSEE
, vol.31
, Issue.25
, pp. 10-16
-
-
Zhou, S.1
Mao, M.2
Su, J.3
|