Most influential parametrical and data needs for realistic wind speed prediction-Reference-Cited by-同舟云学术

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Most influential parametrical and data needs for realistic wind speed prediction

Published:2016-08 Issue: Volume:94 Page:452-465
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Agrawal Alok^ORCID,Sandhu Kanwarjit Singh

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference35 articles.

1. 2014 Half-year Report;The World Wind Energy Association (WWEA),2014

2. BTM Forecasts 340-GW of Wind Energy by 2013;Renewable Energy World,2009

3. International Wind Energy Development World Market Update 2009;BTM Consult,2009

4. GWEC Global Wind Statistics 2014;Global Wind Energy Council (GWEC),2015

5. Issues of connecting wind farms into power systems;Chen,2005

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1. Optimizing Data Set Requirements For Pre-Eminent Wind Speed Predictions in Summer and Winter Seasons;2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy (PESGRE);2023-12-17

2. Output fluctuations minimization of wind integrated hybrid power system using electronic coordinated control of governor and blade;Journal of Renewable and Sustainable Energy;2022-03

3. A novel hybrid machine learning model for short-term wind speed prediction in inner Mongolia, China;Renewable Energy;2021-12

4. Support vector machine model for multistep wind speed forecasting;Predictive Modelling for Energy Management and Power Systems Engineering;2021

5. Point and interval forecasting for wind speed based on linear component extraction;Applied Soft Computing;2020-08

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