Professor Linfei Yin PhD
Associate Professor, School Of Electrical Engineering ORCID: 0000-0001-8343-3669 · China
Editorial leadership for Journal of Big Data Research ISSN 2768-0207
Research interests
- Artificial Intelligence (Ai)
- Deep Neural Networks Power Systems
- Smart Grids Economic Dispatch
- Unit Commitment Multi-Objective
- Distributed Optimization Machine Learning For Energy Forecasting
Biography
Prof. Dr. Linfei Yin is a highly-ranked Associate Professor known for his innovative contributions at the intersection of Electrical Engineering and Artificial Intelligence (AI). His research primarily focuses on improving the efficiency, stability, and control of modern Power Systems and Microgrids. He develops advanced Deep Learning and Optimization Algorithms for tasks such as short-term load forecasting, economic dispatch, and automatic generation control. Recognized as a top global scientist, his work is crucial for integrating renewable energy sources and enabling smart, large-scale interconnected power systems.
Education Details:
- PhD / Doctor Of Engineering (Power Systems And Automation): South China University Of Technology, China (2018).
- M.Sc. (Control Engineering And Control Theory): Nanchang Hangkong University, China (2015).
- B.Sc. (Automation): Nanchang Hangkong University, China (2012).
Professional Background:
- Associate Professor (Current) - School Of Electrical Engineering, Guangxi University, China.
- Assistant Professor (2018–Present) - College Of Electrical Engineering, Guangxi University.
Current Research Projects:
- Quantum-Inspired AI: Developing quantum-inspired optimization and deep reinforcement learning algorithms for power system control.
- Deep Learning For Dispatch: Creating deep learning-based approaches for accelerated and distributed economic dispatch in IoT-integrated power systems.
Academic Profiles Of Prof. Dr. Linfei Yin
Explore his academic and professional presence across trusted platforms:
Selected publications
- Deep Forest Regression for Short-Term Load Forecasting of Power Systems 2020 cited 77×
- Distributed multi-objective grey wolf optimizer for distributed multi-objective economic dispatch of multi-area interconnected power systems 2022 cited 63×
- Hybrid metaheuristic multi-layer reinforcement learning approach for two-level energy management strategy framework of multi-microgrid systems 2021 cited 55×
- A hybrid 3DSE-CNN-2DLSTM model for compound fault detection of wind turbines 2024 cited 51×
- Time series generative adversarial network controller for long-term smart generation control of microgrids 2021 cited 50×
- Relaxed deep generative adversarial networks for real-time economic smart generation dispatch and control of integrated energy systems 2023 cited 43×
Ranked by citation impact (Crossref) where available, newest otherwise · verified via ORCID.
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This journal is guided by Professor Linfei Yin (Associate Professor, School Of Electrical Engineering ORCID: 0000-0001-8343-3669) and a peer-review board of practising researchers. Open access, author-retained copyright (CC BY), and a clear editorial process.