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Browsing publications by Dr Wanqing Zhao

Newcastle AuthorsTitleYearFull text
Dr Fulong Yao
Dr Wanqing Zhao
Dr Matthew Forshaw
Dr Yang Song
A holistic power optimization approach for microgrid control based on deep reinforcement learning2025
Dr Fulong Yao
Dr Wanqing Zhao
Dr Matthew Forshaw
A self-organizing interval type-2 fuzzy neural network for multi-step time series prediction2025
Dr Fulong Yao
Dr Wanqing Zhao
Dr Matthew Forshaw
A Unified Data-Driven Approach Under Deep Reinforcement Learning with Direct Control Responses for Microgrid Operations2025
Dr Wanqing Zhao
Feature-level interpretability in transfer learning-based chiller fault diagnosis2025
Dr Fulong Yao
Dr Wanqing Zhao
Dr Matthew Forshaw
A New Error Temporal Difference Algorithm for Deep Reinforcement Learning in Microgrid Optimization2024
Dr Yang Song
Dr Wanqing Zhao
Approximately bi-similar symbolic model for discrete-time interconnected switched system2024
Dr Wanqing Zhao
Cross-condition fault diagnosis of chillers based on an ensemble approach with adaptive weight allocation2024
Dr Wanqing Zhao
H∞ mean square finite-time control for Markov jump linear system with multiple equilibria2024
Dr Yang Song
Dr Wanqing Zhao
A new integrated regulation strategy and modelling for wind turbine with battery energy storage system2023
Dr Wanqing Zhao
Data to intelligence: The role of data-driven models in wastewater treatment2023
Dr Wanqing Zhao
Smart management of combined sewer overflows: From an ancient technology to artificial intelligence2023
Dr Donghui Cao
Professor Barrie Mecrow
Dr Xu Deng
Dr Glynn Atkinson
Dr Xiang Shen
et al.		A Comparison Between Concentrated Winding and Distributed Windings in Large Capacity Wind Turbine Generators2022
Dr Wanqing Zhao
A machine learning approach to appraise and enhance the structural resilience of buildings to seismic hazards2022
Dr Wanqing Zhao
An integrated D-CNN-LSTM approach for short-term heat demand prediction in district heating systems2022
Dr Wanqing Zhao
Forecasting Heat Demand with Complex Seasonal Pattern Using Sample Weighted SVM2022
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