Day‐ahead and intra‐day wind power forecasting based on feedback error correction-Reference-Cited by-同舟云学术

Day‐ahead and intra‐day wind power forecasting based on feedback error correction

Published:2021-05-19 Issue:13 Volume:15 Page:2840-2848
ISSN:1752-1416
Container-title:IET Renewable Power Generation
language:en
Short-container-title:IET Renewable Power Generation

Author:

Gupta Akshita¹,Kumar Arun¹,Boopathi Kadhirvel²

Affiliation:

1. Hydro and Renewable Energy Department Indian Institute of Technology Roorkee Roorkee Uttarakhand India

2. Research & Development, Resource data Analytics & Forecasting And Solar Radiation Resource Assessment National Institute of Wind Energy (NIWE) Chennai India

Publisher

Institution of Engineering and Technology (IET)

Subject

Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/rpg2.12211

Reference55 articles.

1. Renewable Energy Statistics.The International Renewable Energy Agency (IRENA) Abu Dhabi(2019)

2. RETRACTED: Artificial neural networks applications in wind energy systems: a review

3. AWNN-Assisted Wind Power Forecasting Using Feed-Forward Neural Network

4. Short-Term Wind Power Ensemble Prediction Based on Gaussian Processes and Neural Networks

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