Improved TCN-Vine Copula Method for Wind Speed Prediction Using 5G+ Technology Data Transmission

• Published in: 2024 6th International Conference on Industrial Artificial Intelligence (IAI) pp. 1 - 6
• Main Authors: Zhan, Jin, He, Shaowei, Wang, Chunyu, Zheng, Yafeng
• Format: Conference Proceeding
• Language: English
• Published: IEEE 21.08.2024
• Subjects: Attention mechanisms; Complexity theory; Data communication; Feature extraction; improved temporal convolutional network; kernel principal component analysis; meteorological factors; Predictive models; Sensors; vine copula; Wind energy; Wind farms; Wind speed; wind speed prediction; Wind turbines

Accurate wind speed prediction can facilitate the efficient utilization of wind energy. Therefore, a prediction method combining improved temporal convolutional network (TCN) with vine copula using 5G+ technology data transmission is proposed. Initially, the residual module in TCN is improved by usi...