[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 …
accessible in the public portal are retained by the authors and/or other copyright owners and it …
Wind power forecasting—a review of the state of the art
G Giebel, G Kariniotakis - Renewable energy forecasting, 2017 - Elsevier
This chapter gives an overview over past and present attempts to predict wind power for
single turbines, wind, farms or for whole regions, for a few minutes up to a few days ahead. It …
single turbines, wind, farms or for whole regions, for a few minutes up to a few days ahead. It …
Wind power forecasting: state-of-the-art 2009.
Many countries and regions are introducing policies aimed at reducing the environmental
footprint from the energy sector and increasing the use of renewable energy. In the United …
footprint from the energy sector and increasing the use of renewable energy. In the United …
An extended new approach for forecasting short-term wind power using modified fuzzy wavelet neural network: A case study in wind power plant
SJ Ghoushchi, S Manjili, A Mardani, MK Saraji - Energy, 2021 - Elsevier
Nowadays, there has been more attention paid to clean energies, especially wind, since
there is a shortage of fossil fuel resources, but there is a decrease in pollutants that result …
there is a shortage of fossil fuel resources, but there is a decrease in pollutants that result …
Multistage wind-electric power forecast by using a combination of advanced statistical methods
A multistage advanced statistical method has been proposed for the real-time wind-electric
power generation forecast of wind power plants (WPPs) based on a combination of artificial …
power generation forecast of wind power plants (WPPs) based on a combination of artificial …
A comprehensive study and performance analysis of deep neural network-based approaches in wind time-series forecasting
The increasing energy demand and expansion of power plants are provoking the effects of
greenhouse gas emissions and global warming. To mitigate these issues, renewable …
greenhouse gas emissions and global warming. To mitigate these issues, renewable …
An optimization approach for wind turbine commitment and dispatch in a wind park
CF Moyano, JAP Lopes - Electric power systems research, 2009 - Elsevier
This paper describes an operational optimization strategy to be adopted at the wind park
control level, that enables defining the commitment of wind turbines and their active and …
control level, that enables defining the commitment of wind turbines and their active and …
A quick guide to wind power forecating: state-of-the-art 2009.
This document contains a summary of the main findings from our full report entitled'Wind
Power Forecasting: State-of-the-Art 2009'. The aims of this document are to provide …
Power Forecasting: State-of-the-Art 2009'. The aims of this document are to provide …
Short time ahead wind power production forecast
A Sapronova, C Meissner, M Mana - Journal of Physics …, 2016 - iopscience.iop.org
An accurate prediction of wind power output is crucial for efficient coordination of
cooperative energy production from different sources. Long-time ahead prediction (from 6 to …
cooperative energy production from different sources. Long-time ahead prediction (from 6 to …
[PDF][PDF] Very short-term wind power forecasting: state-of-the-art
Because of the high variability of the wind resource and the nonlinear relation between wind
speed and power, wind power forecasting on the very short-term horizon is a complex task …
speed and power, wind power forecasting on the very short-term horizon is a complex task …