Results 61 to 70 of about 3,633,789 (192)

A Novel Strategy for Wind Speed Prediction in Wind Farm

TELKOMNIKA Indonesian Journal of Electrical Engineering, 2013
The empirical mode decomposition (EMD) is well known for predicting wind speed.However, but the joint application of relevance vector machine (RVM) and empirical mode decomposition in wind speed forecasting is seldom found in the field. This paper proposes a relevance vector machine model based on empirical mode decomposition to predict the wind speed ...
Yang Guang, Ziqiang Hu, Xinrong Liu
openaire   +1 more source

Short-term Wind Speed Prediction Based on Wavelet Packet Decomposition and BP Neural Network

Kongzhi Yu Xinxi Jishu, 2019
In this paper, a short-term wind speed prediction method based on BP neural network and wavelet packet decomposition was proposed to solve the problem of insufficient accuracy of wind speed prediction introduced by unstable wind speed signals.
WANG Ning, LUO Rubin, LIAO Jun, LI Jun, JIANG Yi, YANG Zechuan, YUAN Junjie   +6 more
doaj  

A Wind Speed Prediction Method Based on Signal Decomposition Technology Deep Learning Model

Energies
Accurate and reliable wind speed prediction plays a significant role in ensuring the reasonable scheduling of wind power resources. However, wind speed sequences often exhibit complex characteristics such as instability and volatility, which create ...
Jie Du, Shuaizhi Chen, Linlin Pan, Yubao Liu   +3 more
doaj   +1 more source

Wind Power Prediction Based on PSO-SVR and Grey Combination Model

IEEE Access, 2019
As a kind of green, clean and renewable energy, wind power generation has been widely utilized in various countries in the world. With the rapid development of wind energy, it is also facing prominent problems.
Yi Zhang, Hexu Sun, Yingjun Guo
doaj   +1 more source

Short Term Wind Speed Prediction Based on VMD and DBN Combined Model Optimized by Improved Sparrow Intelligent Algorithm

IEEE Access, 2022
Accurate wind speed prediction can help the power department to perceive the change rule of wind power in advance, reduce the impact of wind power grid connection, and then improve the wind power consumption rate.
Lijuan Zhu, Wei Hu
doaj   +1 more source

A two-parameter wind speed algorithm for Ku-band altimeters [PDF]

, 1989
Globally distributed crossovers of altimeter and scatterometer observations clearly demonstrate that ocean altimeter backscatter correlates with both the near-surface wind speed and the sea state.
Moat, B.I., Escobedo, João Francisco, Vandemark, D., Dijk, A., van, Lefevre, Fabien, Gommenginger, C.P., Roget, Elena, Tabary, Pierre, Kelly, P., G. P. Gommenginger, Pan, NX, Berry, D.I., Piera, Jaume, Barnaba, F., Kazantzidis, A., Gobbi, G.P., Gourrion, J., Webb, Ann, Machado, A. J., J. Gourrion, Schallhart, B., Schmitt, R., von Hünerbein, S, Cipollini, P., van Dijk, A., F. H. Lyard, Escobedo, João Francisco [UNESP], Challenor, P.G., Pascal, R.W., D. Vandemark, Junkermann, W., Blumthaler, M, E. J. O. Schrama, Chapron, B., Visbeck, Martin, Petitdidier, Monique, B. Chapron, Schreder, J., Liberti, G. L., P. G. Challenor, Schrama, Ernest J. O., Bailey, S., Thiel, S., C. Le Provost, Kift, R.; id_orcid, Catalán, Jordi, Topaloglou, C., Piera Fernàndez, Jaume, Wolff, Eric W., Lyard, Florent, Kylling, A., Danielsen, T., Srokosz, M.A., Bais, A.F., Ponte, R. M., S. Bailey, Catalán Aguilà, Jordi, Yelland, M.J., F. Lefèvre, Le Provost, C., Rankin, Andrew M., Richner, H, M. A. Srokosz, Cromwell, D., de Oliveira, A. P., Misslbeck, M., Windt, H., Dinniman, Michael S., A. GRIFFA, Watts, D. Randolph, Meinen, Christopher S., ZAMBIANCHI, Enrico, Chong, Michel, Dunkhorst, W., Lohmann, Martin, Chave, Alan D., Booth, Donald, Webb, A. R., Tracey, Karen L., A. J. MARIANO, Richman, James, Roget, E., Eshbaugh, JV, Bais, A. F., Ding, Li, Frasier, SJ, Kift, R., Chin, T. M, Blumthaler, M., Holländer, W., Haza, A. C, Luther, Douglas S., Klinck, John M., Lödding, H., Bousquet, Olivier, Farmer, David, Gobbi, G. P., T. ZGKMEN, Mariano, A. J, Herbers, T.H.C., Zrnic, D. S., Smith, J. N., Bacic, S., Bringi, V. N., Oleskiw, M., Zrnic, Dúsan S., Seinfeld, J. H., Bozier, KE, Davies, F, Nenes, Athanasios, Rowland, John, Flagan, R. C., Sanderson, Brian, Chuang, P. Y., Collier, CG, Oldenburg, J., Strapp, J. W., Brassington, Gary, Pearson, GN, Miller, D., Lilie, L., Leone, G., Vukovic, Z., O'Reilly, W C, Emery, E., Goldhirsh, Julius, Seymour, R J, Balakrishnan, N., Guza, R T, Chandrasekar, V., Ide, R., Carol Johnson, B., Vömel, H., Mönnich, E., Shiotani, M., Codina, Bernat, Fujiwara, M., Clark, Dennis K., Heinrich, G., Lohou, Fabienne, Clark, C. D., Weppner, J., Jacoby Koaly, Sandra, Brown, Steven W., Saunders, Clive, Kim, Kyung-Eak, Morel, A, Hasebe, Fumio, May, P., Saltzman, E. S., Reid, I., Fujiwara, Masatomo, Kapustin, V., Hasebe, F., Horinouchi, Takeshi, Soula, Serge, Lothon, Marie, Johnson, B. Carol, Shin D. -B., Lothon, M., Girard-Ardhuin, F., Clarke, A., Jacoby-Koaly, Sandra, Güsten, H., Tsuda, Toshitaka, Maring, H., Heo, Bok-Haeng, Gaussiat, Nicolas, Battaglia A., Beckers, Jean-Marie, Druilhet, Aimé, Vomel, Holger, Féral, Laurent, Smedley, Andrew; id_orcid, Jacoby-Koaly, S., Oltmans, Samuel J., Bech, Joan, Kummerow C., Covert, D. S., Shiotani, Masato, Lorente, Jeroni, Hynes, A. J., Williams C., Bénech, B., Lucas, C., Howell, S., Ruppert, Paul W., Kohsiek, W., Oltmans, S. J., Jung, Eun-Sil, Brooks, IM, Feinholz, Michael E., Girard-Ardhuin, Fanny, Illingworth, Anthony, J, Lataitis, R., Yarbrough, Mark, Habauzit, Catherine, Bénech, Bruno, Illingworth, Anthony,, Bruin, H.A.R., de, Barnes, J. E., Campistron, Bernard, Lykke, Keith R., Nolle, M., Sauvageot, Henri, Bebbington, D., Druilhet, A., Campuzano-Jost, P., Rixen, M., Hooker, Sb, Beckers, J.M., de Bruin, H.A.R.   +211 more
core   +1 more source

Maximum power point tracking for variable-speed fixed-pitch small wind turbines [PDF]

, 2009
Variable-speed, fixed-pitch wind turbines are required to optimize power output performance without the aerodynamic controls. A wind turbine generator system is operated such that the optimum points of wind rotor curve and electrical generator curve ...
Jovanovic, Milutin, Pak Sing Leung, M. Narayana, Narayana, Mahinsasa, Putrus, Ghanim, M. Jovanovic, Leung, Pak Sing, G. Putrus   +7 more
core   +1 more source

Spatial Prediction of Wind Speed Data

Korean Journal of Applied Statistics, 2010
In this paper, we introduce the linear regression model taking the parametric spatial association structure into account and employ it to five-year averaged wind speed data measured at 460 meteorological monitoring stations in South Korea. From the prediction map obtained by the model with spatial association parameters, we can see that inland area has
Seung-Hwan Jeong, Man-Sik Park, Kee-Whan Kim   +2 more
openaire   +2 more sources

Wind Speed Predictability Accuracy with Height Using LiDAR Based Measurements and Artificial Neural Networks

Applied Artificial Intelligence, 2021
Accurate prediction of future wind speed is important for wind energy integration into the power grid. Wind speeds are usually measured and predicted at lower heights, while modern wind turbines have hub heights of about 80–120 m.
M. Mohandes, S. Rehman, H. Nuha, M.S. Islam, F.H. Schulze   +4 more
doaj   +1 more source

A Singular Spectrum Analysis and Gaussian Process Regression-Based Prediction Method for Wind Power Frequency Regulation Potential

Energies, 2022
The development of primary frequency regulation (FR) technology has prompted wind power to provide support for active power control systems, and it is critical to accurately assess and predict the wind power FR potential.
Xianbo Du, Jilai Yu
doaj   +1 more source