نتایج جستجو برای: wind speed forecasting

تعداد نتایج: 315014  

Journal: :Int. J. Fuzzy Logic and Intelligent Systems 2012
Seong-Jun Kim In-Yong Seo

A sustainable production of electricity is essential for low carbon green growth in South Korea. The generation of wind power as renewable energy has been rapidly growing around the world. Undoubtedly wind energy is unlimited in potential. However, due to its own intermittency and volatility, there are difficulties in the effective harvesting of wind energy and the integration of wind power int...

2015
Kuilin Chen Jie Yu

Accurate wind speed forecasting is becoming increasingly important to improve and optimize renewable wind power generation. Particularly, reliable short-term wind speed prediction can enable model predictive control of wind turbines and real-time optimization of wind farm operation. However, this task remains challenging due to the strong stochastic nature and dynamic uncertainty of wind speed....

2016
Yiqi Chu Chengcai Li Yefang Wang Jing Li Jian Li

Wind forecasting is critical in the wind power industry, yet forecasting errors often exist. In order to effectively correct the forecasting error, this study develops a weather adapted bias correction scheme on the basis of an average bias-correction method, which considers the deviation of estimated biases associated with the difference in weather type within each unit of the statistical samp...

Journal: :international journal of smart electrical engineering 2012
shahram javadi zeinab hojjatinia

in this paper, a new approach is proposed in order to select an optimal membership function for inputs of wind speed prediction system. then using a fuzzy method and the stochastic characteristics of wind speed in the previous year, the wind speed modeling is performed and the wind speed for the future year will be predicted. in this proposed method, the average and the standard deviation of in...

2013
Wen-Yeau Chang

Abstract The power generation of wind energy conversion system (WECS) is varied with wind speed. Although wind power generation is not dispatch able, an accurate forecasting method of wind power generation for WECS can help the power system operator to reduce operating costs of power system. The artificial neural network is one of the best tools applied to forecast. This paper uses the back pro...

2013
Wen-Yeau Chang

High penetration of wind power in the electricity system provides many challenges to power system operators, mainly due to the unpredictability and variability of wind power generation. Although wind energy may not be dispatched, an accurate forecasting method of wind speed and power generation can help power system operators reduce the risk of an unreliable electricity supply. This paper propo...

2012
In-Yong Seo Bok-Nam Ha Sung-Woo Lee Moon-Jong Jang Sang-Ok Kim Seong-Jun Kim

A sustainable production of electricity is essential for low carbon green growth in South Korea. The generation of wind power as renewable energy has been rapidly growing around the world. Undoubtedly, wind energy is unlimited in potential. However, due to its own intermittency and volatility, there are difficulties in the effective harvesting of wind energy and the integration of wind power in...

1993
V. Vitelli

Accurate short-term wind power forecasting with quantification of the associated uncertainty is crucial for the management of energy systems including wind power generation. On top of the inherent uncertainty in wind speed, it is necessary to account also for the uncertainty in the relationship between wind speed and the corresponding power production, typically described by a power curve whose...

2012
Okan ÖZGÖNENEL David W. P. THOMAS

For accurate and efficient use of wind power, it is important to know the statistical characteristics, availability, diurnal variation, and prediction of wind speed. Prediction of wind power permits the scheduling of the connection or the disconnection of wind turbines to achieve optimal operating costs. In this paper, a simple and accurate method for predicting wind speed based on weather-sens...

2017
Jinliang Zhang YiMing Wei Zhong-fu Tan Ke Wang Wei Tian

The accuracy of short-term wind speed prediction is very important for wind power generation. In this paper, a hybrid method combining ensemble empirical mode decomposition (EEMD), adaptive neural network based fuzzy inference system (ANFIS) and seasonal auto-regression integrated moving average (SARIMA) is presented for short-term wind speed forecasting. The original wind speed series is decom...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید