Machine-learning methods for integrated renewable power generation: A comparative study of artificial neural networks, support vector regression, and Gaussian …

M Sharifzadeh, A Sikinioti-Lock, N Shah - Renewable and Sustainable …, 2019 - Elsevier
Renewable energy from wind and solar resources can contribute significantly to the
decarbonisation of the conventionally fossil-driven electricity grid. However, their seamless …

[HTML][HTML] A literature review of wind forecasting methods

WY Chang - Journal of Power and Energy Engineering, 2014 - scirp.org
In this paper, an overview of new and current developments in wind forecasting is given
where the focus lies upon principles and practical implementations. High penetration of wind …

Wind speed and wind energy forecast through Kalman filtering of Numerical Weather Prediction model output

F Cassola, M Burlando - Applied energy, 2012 - Elsevier
Despite the major progress made by Numerical Weather Prediction (NWP) in the last
decades, meteorological models are usually unable to provide reliable surface wind speed …

On comparing three artificial neural networks for wind speed forecasting

G Li, J Shi - Applied Energy, 2010 - Elsevier
Wind speed forecasting is critical for wind energy conversion systems since it greatly
influences the issues such as the scheduling of a power system, and the dynamic control of …

A review on the forecasting of wind speed and generated power

M Lei, L Shiyan, J Chuanwen, L Hongling… - … and sustainable energy …, 2009 - Elsevier
In the world, wind power is rapidly becoming a generation technology of significance.
Unpredictability and variability of wind power generation is one of the fundamental …

Wind speed forecasting in three different regions of Mexico, using a hybrid ARIMA–ANN model

E Cadenas, W Rivera - Renewable Energy, 2010 - Elsevier
In this paper the wind speed forecasting in the Isla de Cedros in Baja California, in the Cerro
de la Virgen in Zacatecas and in Holbox in Quintana Roo is presented. The time series …

关于短期及超短期风电功率预测的评述

Y Xue, C Yu, J Zhao, K Li, X Liu, Q Wu… - Dianli Xitong Zidonghua …, 2015 - orbit.dtu.dk
Xue, Yusheng; Yu, Chen ; Zhao, Junhua; Li, Kang; Liu, Xueqin; Wu, Qiuwei; Yang, Guangya
Published in: Dianli Xitong Zidonghua/Au Page 1 General rights Copyright and moral rights for …

A comprehensive review of wind resource assessment

KSR Murthy, OP Rahi - Renewable and Sustainable Energy Reviews, 2017 - Elsevier
A minor deviation in wind speed causes large deviation in the output power of wind turbine
because of cubic bond association between these two parameters. Therefore, a precise …

Multi-step short-term wind speed forecasting approach based on multi-scale dominant ingredient chaotic analysis, improved hybrid GWO-SCA optimization and ELM

W Fu, K Wang, C Li, J Tan - Energy Conversion and Management, 2019 - Elsevier
Accurate wind speed prediction possesses a significant impact on reasonable scheduling
and safe operation of power system. For this purpose, a novel hybrid approach based on …

[PDF][PDF] The state-of-the-art in short-term prediction of wind power: A literature overview

G Giebel, R Brownsword, G Kariniotakis, M Denhard… - 2011 - orbit.dtu.dk
Deliverable Report Page 1 General rights Copyright and moral rights for the publications made
accessible in the public portal are retained by the authors and/or other copyright owners and it …