Results 271 to 280 of about 14,302 (309)

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 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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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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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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Wind Speed Forecasting Based on FNN in Wind Farm

Applied Mechanics and Materials, 2014
Wind speed forecasting plays a significant role to the operation of wind power plants and power systems. An accurate forecasting on wind power can effectively relieve or avoid the negative impact of wind power plants on power systems and enhance the competition of wind power plants in electric power market.
Zheng Ning Fu, Hong Wen Xie
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Modeling a robust wind-speed forecasting to apply to wind-energy production

Neural Computing and Applications, 2018
Q1
José G. Hernández-Travieso, Carlos M. Travieso-González, Jesús Bernardino Alonso Hernández, José Miguel Canino-Rodríguez, Antonio G. Ravelo-García   +4 more
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Forecasting from incomplete and chaotic wind speed data

Soft Computing, 2018
Forecasting is the process of making value predictions given historical samples of the observed variable. In some cases, there are missing points in the series because of problems in the collector device such as connectivity, maintenance, or meteorological factors.
Héctor Rodríguez Rangel, Juan J. Flores, Luis Alberto Morales-Rosales, Carlos Lara 0001, Armando Guerra, Giovanni Manjarrez Montelongo   +5 more
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Forecast of wind speed based on whale optimization algorithm

Proceedings of the 1st International Conference on Internet of Things and Machine Learning, 2017
The renewable energy generated from wind reduces the expenditure of electricity production. According to the variation and the nonlinearity of the wind data, the precise speed of the wind forecasting regrading as a major role in renewable energy systems.
Sarah Osama, Essam H. Houssein, Aboul Ella Hassanien, Aly A. Fahmy   +3 more
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