Short-Term Wind Energy Forecasting Using Deep Learning-Based Predictive Analytics-Reference-Cited by-同舟云学术

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Short-Term Wind Energy Forecasting Using Deep Learning-Based Predictive Analytics

Published:2022 Issue:1 Volume:72 Page:1017-1033
ISSN:1546-2226
Container-title:Computers, Materials & Continua
language:en
Short-container-title:

Author:

Shabbir Noman,K黷t Lauri,Jawad Muhammad,Husev Oleksandr,Ur Rehman Ateeq,Abid Gardezi Akber,Shafiq Muhammad,Choi Jin-Ghoo

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Link

https://www.techscience.com/cmc/v72n1/46898/pdf

Reference49 articles.

1. Short-term wind speed forecasting via stacked extreme learning machine with generalized correntropy;Luo;IEEE Transactions on Industrial Informatics,2018

2. Impact of inertial response for the variable speed wind turbine;Hassan,2019

3. An advanced approach for optimal wind power generation prediction intervals by using self-adaptive evolutionary extreme learning machine;Mahmoud;Renewable Energy,2018

4. Forecasting energy demand, wind generation and carbon dioxide emissions in Ireland using evolutionary neural networks;Mason;Energy,2018

5. Current methods and advances in forecasting of wind power generation;Foley;Renewable Energy,2012

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1. Unlocking the potential: A review of artificial intelligence applications in wind energy;Expert Systems;2024-08-27

2. Short-Term Residental DC Load Forecasting Using Extreme Gradient Boost (XgBoost) Algorithm;2024 IEEE 18th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG);2024-06-24

3. Advancing Ultra-Short-Term Wind Power Forecasting with Multi-Channel ML Techniques;2024 6th International Conference on Energy Systems and Electrical Power (ICESEP);2024-06-21

4. Comparative Analysis of Machine Learning Techniques for Non-Intrusive Load Monitoring;Electronics;2024-04-09

5. A Novel Renewable Power Generation Prediction Through Enhanced Artificial Orcas Assisted Ensemble Dilated Deep Learning Network;IEEE Access;2024

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