Zhao, Yang

Artificial intelligence-based fault detection and diagnosis methods for building energy systems: Advantages, challenges and the future

Zhao, Y., Li, T., Zhang, X., & Zhang, C. (2019) · Renewable and Sustainable Energy Reviews

Fault Detection and Control SystemsBuilding Energy and Comfort Optimization

Cited by 594

A study of the relationship between coulombic efficiency and capacity degradation of commercial lithium-ion batteries

Yang, F., Wang, D., Zhao, Y., Tsui, K.-L., & Bae, S. J. (2018) · Energy

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 349

A hybrid deep learning-based method for short-term building energy load prediction combined with an interpretation process

Zhang, C., Li, J., Zhao, Y., Li, T., Chen, Q., & Zhang, X. (2020) · Energy and Buildings

Building Energy and Comfort OptimizationEnergy Load and Power Forecasting

Cited by 124

Piecewise model based intelligent prognostics for state of health prediction of rechargeable batteries with capacity regeneration phenomena

Wang, D., Kong, J.-Z., Zhao, Y., & Tsui, K.-L. (2019) · Measurement

Battery Modeling and ManagementReliability and Maintenance Optimization

Cited by 71

Automatic Recognition and Analysis of Balance Activity in Community-Dwelling Older Adults: Algorithm Validation

Hsu, Y.-C., Wang, H., Zhao, Y., Chen, F., & Tsui, K.-L. (2021) · Journal of Medical Internet Research

Balance, Gait, and Falls PreventionContext-Aware Activity Recognition Systems

Cited by 9