Robust Short-Term Wind Power Forecasting Using a Multivariate Input and Hybrid Architecture
Author:
Affiliation:
1. University of Science and Technology The University of Da Nang,Faculty of Electrical Engineering,Da Nang,Vietnam
2. Ho Chi Minh City University of Technology VNU - HCM,Faculty of Electrical and Electronic Engineering,Ho Chi Minh,Vietnam
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10394677/10394678/10394758.pdf?arnumber=10394758
Reference15 articles.
1. Xu huong moi trong van hanh va bao tri nang luong gio;Nang luong Viet Nam,2021
2. Nghien cuu du bao cong suat phat cua nha may dien gio;Doan;Luan Van Thac Si,2018
3. Nghien cuu ung dung hoc sau trong du bao cong suat phat nguon dien gio;Viet;Tap chi Khoa hoc va Cong nghe-Dai hoc Da Nang,2021
4. Models for Short-Term Wind Power Forecasting Based on Improved Artificial Neural Network Using Particle Swarm Optimization and Genetic Algorithms
5. A review of wind speed and wind power forecasting with deep neural networks
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