2 papers
cs.LG2026
Trend-Aware Multi-Task Learning for Short-Term Energy Forecasting
Fulong Yao, Wanqing Zhao, Chao Zheng +1
Short-term energy forecasting plays an important role in real-time operational decision-making, such as electricity market bidding and power system dispatch, where both numerical a…
stat.ME2025
A Simple and Effective Random Forest Modelling for Nonlinear Time Series Data
Shihao Zhang, Zudi Lu, Chao Zheng
In this paper, we propose Random Forests by Random Weights (RF-RW), a theoretically grounded and practically effective alternative RF modelling for nonlinear time series data, wher…