Yan Su

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Deep learned recurrent type-3 fuzzy system: Application for renewable energy modeling/prediction

A Phase II nonparametric adaptive exponentially weighted moving average control chart

Supercritical carbon dioxide cycles for power generation: A review

Advanced Statistical Modeling, Forecasting, and Fault Detection in Renewable Energy Systems

Green building research–current status and future agenda: A review

A comprehensive review on protection challenges and fault diagnosis in PV systems

Machine learning methods for solar radiation forecasting: A review

Photovoltaics Energy Prediction Under Complex Conditions for a Predictive Energy Management System

Review of organic Rankine cycle (ORC) architectures for waste heat recovery

Advances and challenges in ORC systems modeling for low grade thermal energy recovery

Zero energy buildings and sustainable development implications – A review

Supercritical CO2 Brayton cycles for solar-thermal energy

Thermal comfort and building energy consumption implications – A review

Real-time prediction models for output power and efficiency of grid-connected solar photovoltaic systems

Analysis of daily solar power prediction with data-driven approaches

An accurate evaluation of adaptive exponentially weighted moving average schemes