1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2026★ 1 cited
A Tidal Current Speed Forecasting Model based on Multi-Periodicity Learning
Tengfei Cheng, Yangdi Huang, Ling Xiao +1
Tidal energy is one of the key components in increasing the penetration of renewable energy. High tidal energy penetration into the electrical grid depends on accurate tidal curren…
stat.AP2025
A novel forecasting framework combining virtual samples and enhanced Transformer models for tourism demand forecasting
Tingting Diao, Xinzhang Wu, Lina Yang +2
Accurate tourism demand forecasting is hindered by limited historical data and complex spatiotemporal dependencies among tourist origins. A novel forecasting framework integrating…