Results 31 to 40 of about 14,302 (309)

Spatial dispersion of wind speeds and its influence on the forecasting error of wind power in a wind farm

Journal of Modern Power Systems and Clean Energy, 2016
Big wind farms must be integrated to power system. Wind power from big wind farms, with randomness, volatility and intermittent, will bring adverse impacts on the connected power system.
Gang Mu, Mao Yang, Dong Wang, Gangui Yan, Yue Qi   +4 more
doaj   +1 more source

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

, 2002
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.   +65 more
core   +1 more source

Wind speed prediction model using ensemble empirical mode decomposition, least squares support vector machine and long short-term memory

Frontiers in Energy Research, 2023
Due to the randomness and intermittency of wind, accurate and reliable wind speed prediction is of great importance to the safe and stable operation of power grid.
Xueyi Ai, Shijia Li, Haoxuan Xu
doaj   +1 more source

Multistream Graph Attention Networks for Wind Speed Forecasting [PDF]

2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021
Reliable and accurate wind speed prediction has significant impact in many industrial sectors such as economic, business and management among others. This paper presents a new model for wind speed prediction based on Graph Attention Networks (GAT). In particular, the proposed model extends GAT architecture by equipping it with a learnable adjacency ...
Dogan Aykas, Siamak Mehrkanoon
openaire   +4 more sources

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

Generic maximum power point tracking controller for small-scale wind turbines [PDF]

, 2012
The output power of a wind energy conversion system (WECS) is maximized if the wind rotor is driven at an optimal rotational speed for a particular wind speed. To achieve this, a Maximum Power Point Tracking (MPPT) controller is usually used.
Jovanovic, Milutin, Narayana, Mahinsasa, Putrus, Ghanim, Leung, Pak Sing, McDonald, Stephen   +4 more
core   +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

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

Wind speed forecasting using Singular Systems Analysis

, 2013
We report on a method to predict wind speeds up to 24 hours ahead using a technique originating in Dynamical Systems and Chaos theory using a signal processing technique known as Singular Systems Analysis.The method predicts wind speeds based on a set of
Fruh, Wolf-Gerrit; id_orcid, C. Skittides, Skittides, Christina, W.-G. Früh   +3 more
core   +1 more source