Results 51 to 60 of about 2,638,880 (299)

A Combined Strategy for Wind Speed Forecasting Using Data Preprocessing and Weight Coefficients Optimization Calculation

IEEE Access, 2020
Wind speed forecasting is an essential procedure in electric grid dispatching. Short-term wind speed forecasting can be a great challenge and an intractable issue in increasing wind energy output and guaranteeing power safety.
Tongji Guo, Lifang Zhang, Zhenkun Liu, Jianzhou Wang   +3 more
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., Lefevre, Fabien, Gommenginger, C.P., Roget, Elena, Tabary, Pierre, Kelly, P., G. P. Gommenginger, 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., F. H. Lyard, Challenor, P.G., D. Vandemark, Junkermann, W., Blumthaler, M, E. J. O. Schrama, Chapron, B., 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, 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., Richner, H, M. A. Srokosz, Cromwell, D., de Oliveira, A. P., Misslbeck, M., Windt, H., Dinniman, Michael S., A. GRIFFA, ZAMBIANCHI, Enrico, Chong, Michel, Dunkhorst, W., Webb, A. R., A. J. MARIANO, Roget, E., Eshbaugh, JV, Bais, A. F., Frasier, SJ, Kift, R., Chin, T. M, Blumthaler, M., Holländer, W., Haza, A. C, Klinck, John M., Lödding, H., Bousquet, Olivier, Gobbi, G. P., T. ZGKMEN, Mariano, A. J, Herbers, T.H.C., Zrnic, D. S., Bringi, V. N., Zrnic, Dúsan S., Bozier, KE, Davies, F, Rowland, John, Sanderson, Brian, Collier, CG, Brassington, Gary, Pearson, GN, O'Reilly, W C, Goldhirsh, Julius, Seymour, R J, Balakrishnan, N., Guza, R T, Chandrasekar, V., Vömel, H., Mönnich, E., Shiotani, M., Codina, Bernat, Fujiwara, M., Heinrich, G., Lohou, Fabienne, Clark, C. D., Weppner, J., Jacoby Koaly, Sandra, Saunders, Clive, Kim, Kyung-Eak, Morel, A, Hasebe, Fumio, Saltzman, E. S., Fujiwara, Masatomo, Kapustin, V., Hasebe, F., Horinouchi, Takeshi, Soula, Serge, Lothon, Marie, 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., Howell, S., Ruppert, Paul W., Oltmans, S. J., Jung, Eun-Sil, Brooks, IM, Girard-Ardhuin, Fanny, Illingworth, Anthony, J, Bénech, Bruno, Illingworth, Anthony,, Barnes, J. E., Campistron, Bernard, Nolle, M., Sauvageot, Henri, Bebbington, D., Druilhet, A., Campuzano-Jost, P., Rixen, M., Hooker, Sb, Beckers, J.M., Paul W. Ruppert, Fumio Hasebe, Antonio J. Machado, João F. Escobedo, Le Traon, P Y, Toshitaka Tsuda, Masatomo Fujiwara, Amauri P. de Oliveira, Ian M. Brooks, Samuel J. Oltmans, Masato Shiotani, Escobedo, J. F., Dibarboure, G, Takeshi Horinouchi, Holger Vömel, Pascal, R.W., Rankin, Andrew M., Wolff, Eric W.   +181 more
core   +1 more source

Direct Multistep Wind Speed Forecasting Using LSTM Neural Network Combining EEMD and Fuzzy Entropy

Applied Sciences, 2019
Accurate wind speed forecasting is of great significance for a reliable and secure power generation system. In order to improve forecasting accuracy, this paper introduces the LSTM neural network and proposes a wind speed statistical forecasting method ...
Qiong Qin, Xu Lai, Jin Zou
doaj   +1 more source

Short-term wind speed forecasting in Germany [PDF]

Journal of Applied Statistics, 2015
The importance of renewable power production is a set goal in terms of the energy turnaround. Developing short-term wind speed forecasting improvements might increase the profitability of wind power. This article compares two novel approaches to model and predict wind speed.
openaire   +2 more sources

A Hybrid Framework for Short Term Multi-Step Wind Speed Forecasting Based on Variational Model Decomposition and Convolutional Neural Network

Energies, 2018
Wind speed is an important factor in wind power generation. Wind speed forecasting is complicated due to its highly nonstationary character. Therefore, this paper presents a hybrid framework for the development of multi-step wind speed forecasting based ...
Jianzhong Zhou, Han Liu, Yanhe Xu, Wei Jiang   +3 more
doaj   +1 more source

Wind Speed for Load Forecasting Models [PDF]

Sustainability, 2017
Temperature and its variants, such as polynomials and lags, have been the most frequently-used weather variables in load forecasting models. Some of the well-known secondary driving factors of electricity demand include wind speed and cloud cover. Due to the increasing penetration of distributed energy resources, the net load is more and more affected ...
Xie, Jingrui, Hong, Tao
openaire   +1 more source

Introduction to special issue on high speed solar wind streams and geospace interactions (HSS-GI) [PDF]

, 2009
This special issue of the Journal of Atmospheric and Solar-Terrestrial Physics is devoted to research into high speed solar wind streams (HSSs) and their effects on the region of near-Earth space commonly known as ‘geospace’.
Morley, S.K., Denton, M.H, Horne, Richard B, Borovsky, J.E., Tsurutani, B.T., Denton, M.H., Horne, R.B., McPherron, R.L.   +7 more
core   +1 more source

Wind Speed Forecasting Based on Extreme Gradient Boosting [PDF]

IEEE Access, 2020
As the integration of wind power into electrical energy network increasing, accurate forecast of wind speed becomes highly important in the case of large-scale wind power connected into the grid. In order to improve the accuracy of wind speed forecast and the generalization ability of the model, Extreme Gradient Boosting (XGBoost) as an improvement ...
Ren Cai, Sen Xie, Bozhong Wang, Ruijiang Yang, Daosen Xu, Yang He   +5 more
openaire   +3 more sources

Predictive control of wind turbines by considering wind speed forecasting techniques [PDF]

, 2009
A wind turbine system is operated such that the points of wind rotor curve and electrical generator curve coincide. In order to obtain maximum power output of a wind turbine generator system, it is necessary to drive the wind turbine at an optimal rotor ...
Jovanovic, Milutin, Narayana, Mahinsasa, Putrus, Ghanim, Lung, P. S.   +3 more
core  

The human gut microbiome across the life course

FEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero, Basak Bahcivanci, Antonietta Hayhoe, Animesh Acharjee, Ezgi Özkurt   +4 more
wiley   +1 more source