Results 261 to 270 of about 2,638,880 (299)

Research of Wind Speed and Wind Power Forecasting

Advanced Materials Research, 2011
Wind power has entered a rapid progress stage. Due to the intermittency of wind energy and the non-linearity of power system, there exist many uncertain variables which should be considered in the wind power prediction. Accurate wind power forecastings are beneficial for wind plant operators, utility operators, and utility customers.
Xiao Xia Zheng, Fu Yang
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Forecasting wind speed with recurrent neural networks

European Journal of Operational Research, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Qing Cao 0002, Bradley T. Ewing, Mark A. Thompson   +2 more
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Improvement of short-term forecast for wind speed

Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, and Informatics, 2012
This paper presents a new type of linear regression model called sparse linear regression (SLR) model for short-term wind speed forecasting. Modifications are applied to the SLR model and some other variant models are proposed. Experiments are carried out on real wind farm history recording data.
Xinxin Bai, Shaocong Han, Haifeng Wang, Wenjun Yin, Rongfu Sun, Tao Zhang, Jun Liu, Weimin Lei   +7 more
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Wind speed forecasting using genetic programming

2013 IEEE Congress on Evolutionary Computation, 2013
This contribution presents the application of genetic programming to the problem of time series forecasting. This forecast technique is applied to wind speed time series. The results obtained from the forecasting are used to determine the power generation capacity of a fixed-speed wind turbine, which includes a squirrel cage induction generator.
Mario Graff, Rafael Peña, Aurelio Medina   +2 more
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The application of neural network in wind speed forecasting

2015 IEEE 12th International Conference on Networking, Sensing and Control, 2015
Usually, a typical wind turbine system cannot generate electricity power consistently, because the power outputs are heavily depended on wind speed. However, terrain, temperature, humidity and other factors can also affect wind speed. Therefore, wind power forecasting is a complex, multi-dimensional, and highly non-linear system. Neural network is able
Shih-Hua Huang, Ko-Ming Mu, Ping-Yuan Lu, Chao-Yang Tsao, Yih-Guang Leu, Li-Fen Chou   +5 more
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Wind speed and wind power forecasting models

Energy & Environment
Sustainable energy resources have proved to be the best alternative in the wake of environmental degradation, depletion of ozone layer and ever-increasing demand for energy. Though wind energy is a promising resource, the non-linear nature and non-stationary characteristics of wind have remained a formidable challenge.
M. Lydia, G. Edwin Prem Kumar, R. Akash
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Wind Speed Forecasting Based on Combination Forecasting Model

2010 International Conference of Information Science and Management Engineering, 2010
The accuracy of wind speed forecasting is related to the wind power scheduling. When large-scale wind power connected grid, it also affects the stability of the grid. This paper applies time series model and Back Propagation (BP) neural network model to predict wind speed.
Nan Xiaoqiang, Li Qunzhan, Yu Junxiang, You Zhiyu   +3 more
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Stochastic models for wind speed forecasting

Energy Conversion and Management, 2011
Abstract This paper is concerned with the problem of developing a general class of stochastic models for hourly average wind speed time series. The proposed approach has been applied to the time series recorded during 4 years in two sites of Sicily, a region of Italy, and it has attained valuable results in terms both of modelling and forecasting ...
BIVONA, Saverio, BONANNO, Giovanni, BURLON, Riccardo, GURRERA, Davide, LEONE, Claudio   +4 more
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Wind speed forecasting: Present status

2010 International Conference on Power System Technology, 2010
A number of wind speed forecasting techniques are available in order to predict the uncertainty of the wind, which is key to estimate wind power generation availability for the grid. It is gaining more attention with the recent evolution of smart grid, which throws a challenge of integrating wind power into the grid.
Melam Bhaskar, Amit Jain, N. Venkata Srinath   +2 more
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Recurrent networks for wind speed forecasting

International Conference on Pattern Recognition Systems (ICPRS-16), 2016
In recent years, wind power has prompted as a renewable energy source. However, integrating wind power into the electric grid is a major challenge due to the wind speed variations. Then, wind speed forecasting is an alternative for the pre-dispatch of power system.
E. Lopez, H. Allende, C. Valle
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