A literature review of wind forecasting technology in the world
YK Wu, JS Hong - 2007 IEEE Lausanne Power Tech, 2007 - ieeexplore.ieee.org
Large intermittent generations have grown the influence on the grid security, system
operation, and market economics. Although wind energy may not be dispatched, the cost …
operation, and market economics. Although wind energy may not be dispatched, the cost …
Short term wind speed forecasting using artificial and wavelet neural networks with and without wavelet filtered data based on feature selections technique
Y Ali, HH Aly - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Wind speed forecasting plays a crucial role in enhancing the efficiency, reliability, and
profitability of renewable energy systems. Accurate wind speed forecasting optimizes energy …
profitability of renewable energy systems. Accurate wind speed forecasting optimizes energy …
[HTML][HTML] Wind power curve modeling in complex terrain using statistical models
The simplest power curves model wind power only as a function of the wind speed at the
turbine hub height. While the latter is an essential predictor of power output, wind speed …
turbine hub height. While the latter is an essential predictor of power output, wind speed …
Short-term wind speed prediction based on GRU
Z Xu, W Yixian, C Yunlong, C Xueting… - 2019 IEEE Sustainable …, 2019 - ieeexplore.ieee.org
With the rapid increase of wind power grid-connected capacity, improving wind speed
prediction accuracy is increasingly important to reduce wind power fluctuations and to the …
prediction accuracy is increasingly important to reduce wind power fluctuations and to the …
Prediction of wind speed for the estimation of wind turbine power output from site climatological data using artificial neural network
TR Ayodele, ASO Ogunjuyigbe - International Journal of Ambient …, 2017 - Taylor & Francis
In this paper, the wind speeds of Noupoort in the Western Cape region of South Africa are
forecasted from the site climatological data using feed forward artificial neural network …
forecasted from the site climatological data using feed forward artificial neural network …
[PDF][PDF] Forecasting power and wind speed using artificial and wavelet neural networks for Prince Edward Island (PEI)
YMK Ali - 2010 - collectionscanada.gc.ca
The idea of using superposition of functions (ie, Wavelet and Fourier transforms) to transform
or approximate signals or other functions has existed since the early 1800's, when Joseph …
or approximate signals or other functions has existed since the early 1800's, when Joseph …
以ARIMA 模式與ANN 模式預測短期風機風速
莊涵如， 楊旭豪 - 2013 - 140.128.95.1
近年來全球面臨能源逐漸耗竭, 且隨著環保意識的抬頭, 許多先進國家開始積極尋求替代能源.
然而舉凡太陽能源亦或是水力發電等, 都不及風力發電能源的乾淨與低汙染. 儘管如此 …
然而舉凡太陽能源亦或是水力發電等, 都不及風力發電能源的乾淨與低汙染. 儘管如此 …
[PDF][PDF] Investigations on Wind Resource Assessment and Wind Farm Layout Using Hybrid Algorithms and Simulation Tools
B MOORTHY C - 2015 - dspace.bits-pilani.ac.in
In recent years, globally wind power development has been strongly supported by advent of
newer computer based techniques for prediction, assessment, optimization and forecasting …
newer computer based techniques for prediction, assessment, optimization and forecasting …
Wind Power Forecasting to Minimize the Effects of Overproduction
F Ribeiro, P Salgado, J Barreira - … EANN 2012, London, UK, September 20 …, 2012 - Springer
Wind power generation increases very rapidly in the past few years. The available wind
energy is random due to the intermittency and variability of the wind speed. This poses …
energy is random due to the intermittency and variability of the wind speed. This poses …