3 papers
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…
eess.SY2024
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…