Data processing strategies in wind energy forecasting models and applications: A comprehensive review

Applied Energy ◽

10.1016/j.apenergy.2019.04.188 ◽

2019 ◽

Vol 249 ◽

pp. 392-408 ◽

Author(s):

Hui Liu ◽

Chao Chen

Keyword(s):

Wind Energy ◽

Data Processing ◽

Energy Forecasting ◽

Comprehensive Review ◽

Forecasting Models ◽

Processing Strategies

Download Full-text

Placement of weather stations in Colombia for future applications in solar and wind energy forecasting models

2019 FISE-IEEE/CIGRE Conference - Living the energy Transition (FISE/CIGRE) ◽

10.1109/fisecigre48012.2019.8984983 ◽

2019 ◽

Author(s):

Luis Duarte ◽

Jesus Revollo ◽

Daniel Betancur ◽

Gabriel Lopez ◽

Idi Isaac ◽

...

Keyword(s):

Wind Energy ◽

Energy Forecasting ◽

Forecasting Models ◽

Weather Stations

Download Full-text

Corrigendum to “Combined forecasting models for wind energy forecasting: A case study in China” [Renew. Sustain. Energy Rev. 44 (2015) 271–288]

Renewable and Sustainable Energy Reviews ◽

10.1016/j.rser.2017.01.149 ◽

2017 ◽

Vol 73 ◽

pp. 276

Author(s):

Ling Xiao ◽

Jianzhou Wang ◽

Yao Dong ◽

Jie Wu

Keyword(s):

Wind Energy ◽

Energy Forecasting ◽

Forecasting Models ◽

Combined Forecasting

Download Full-text

Combined forecasting models for wind energy forecasting: A case study in China

Renewable and Sustainable Energy Reviews ◽

10.1016/j.rser.2014.12.012 ◽

2015 ◽

Vol 44 ◽

pp. 271-288 ◽

Author(s):

Ling Xiao ◽

Jianzhou Wang ◽

Yao Dong ◽

Jie Wu

Keyword(s):

Wind Energy ◽

Energy Forecasting ◽

Forecasting Models ◽

Combined Forecasting

Download Full-text

Research and Application of a Hybrid Wind Energy Forecasting System Based on Data Processing and an Optimized Extreme Learning Machine

Energies ◽

10.3390/en11071712 ◽

2018 ◽

Vol 11 (7) ◽

pp. 1712 ◽

Author(s):

Rui Wang ◽

Jingrui Li ◽

Jianzhou Wang ◽

Chengze Gao

Keyword(s):

Wind Energy ◽

Data Processing ◽

Extreme Learning Machine ◽

Energy Forecasting ◽

Forecasting System ◽

Learning Machine

Download Full-text

Corrigendum to “Combined forecasting models for wind energy forecasting: A case study in China” [Renew. Sustain. Energy Rev. 44 (2015) 271–288]

Renewable and Sustainable Energy Reviews ◽

10.1016/j.rser.2016.12.091 ◽

2017 ◽

Vol 74 ◽

pp. 1407 ◽

Author(s):

Ling Xiao ◽

Jianzhou Wang ◽

Yao Dong ◽

Jie Wu

Keyword(s):

Wind Energy ◽

Energy Forecasting ◽

Forecasting Models ◽

Combined Forecasting

Download Full-text

A comprehensive review of processing strategies for iron precipitation residues from zinc hydrometallurgy

Cleaner Engineering and Technology ◽

10.1016/j.clet.2021.100214 ◽

2021 ◽

pp. 100214

Author(s):

Lukas Hoeber ◽

Stefan Steinlechner

Keyword(s):

Comprehensive Review ◽

Iron Precipitation ◽

Processing Strategies ◽

Zinc Hydrometallurgy

Download Full-text

Efficient monitoring and control of wind energy conversion systems using Internet of things (IoT): a comprehensive review

Environment Development and Sustainability ◽

10.1007/s10668-021-01267-6 ◽

2021 ◽

Author(s):

Shivaji Karad ◽

Ritula Thakur

Keyword(s):

Internet Of Things ◽

Wind Energy ◽

Energy Conversion ◽

Monitoring And Control ◽

Comprehensive Review ◽

Wind Energy Conversion ◽

Wind Energy Conversion Systems ◽

Energy Conversion Systems ◽

Download Full-text

Hybrid technique of ant colony and particle swarm optimization for short term wind energy forecasting

Journal of Wind Engineering and Industrial Aerodynamics ◽

10.1016/j.jweia.2013.10.004 ◽

2013 ◽

Vol 123 ◽

pp. 163-170 ◽

Author(s):

Rasoul Rahmani ◽

Rubiyah Yusof ◽

Mohammadmehdi Seyedmahmoudian ◽

Saad Mekhilef

Keyword(s):

Particle Swarm Optimization ◽

Wind Energy ◽

Particle Swarm ◽

Hybrid Technique ◽

Energy Forecasting ◽

Swarm Optimization

Download Full-text

Wind energy forecasting framework based on new perspective

10.1109/cieec50170.2021.9510763 ◽

2021 ◽

Author(s):

Jinghui Zhang ◽

Xiaoyu Shen ◽

Chunhui Kong ◽

Yagang Zhang

Keyword(s):

Wind Energy ◽

Energy Forecasting ◽

New Perspective

Download Full-text

Astronomical big data processing using machine learning: A comprehensive review

Experimental Astronomy ◽

10.1007/s10686-021-09827-4 ◽

2022 ◽

Author(s):

Snigdha Sen ◽

Sonali Agarwal ◽

Pavan Chakraborty ◽

Krishna Pratap Singh

Keyword(s):

Machine Learning ◽

Big Data ◽

Data Processing ◽

Big Data Processing ◽

Comprehensive Review

Download Full-text