3 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…
cs.LG2025
A New Error Temporal Difference Algorithm for Deep Reinforcement Learning in Microgrid Optimization
Fulong Yao, Wanqing Zhao, Matthew Forshaw
Predictive control approaches based on deep reinforcement learning (DRL) have gained significant attention in microgrid energy optimization. However, existing research often overlo…
cs.LG2025
A Self-organizing Interval Type-2 Fuzzy Neural Network for Multi-Step Time Series Prediction
Fulong Yao, Wanqing Zhao, Matthew Forshaw +1
Data uncertainty is inherent in many real-world applications and poses significant challenges for accurate time series predictions. The interval type 2 fuzzy neural network (IT2FNN…