5 papers
A Hierarchical Optimisation Framework for Integrated Electric-Hydrogen-Transport Systems
Fulong Yao, Yiming Xu, Liana Cipcigan +4
Integrated electric-hydrogen infrastructures are becoming increasingly important with the growing deployment of electric vehicles (EVs) and hydrogen vehicles (HVs) in transport sys…
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…
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…
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…
A Holistic Power Optimization Approach for Microgrid Control Based on Deep Reinforcement Learning
Fulong Yao, Wanqing Zhao, Matthew Forshaw +1
The global energy landscape is undergoing a transformation towards decarbonization, sustainability, and cost-efficiency. In this transition, microgrid systems integrated with renew…