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Chuyên ngành: Kỹ thuật điện
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Chức danh: Giảng viên

Vị trí công tác

Bộ môn Kỹ thuât Điện - Khoa Điện Điện tử, Trường Đại học Nha Trang

Đã giảng dạy các HP : Ổn định hệ thống điện, Giải tích hệ thống điện, Máy điện, Ngôn ngữ lập trình, Vẽ Điện Điện tử, Máy điện và Khí cụ điện, Vật liệu điện

Quá trình đào tạo

Ngày nhập học	Chuyên ngành	Hình thức đào tạo	Nơi đào tạo	Học vị	Ngày tốt nghiệp
01/09/2006	Hệ thống năng lượng	Chính quy	Trường ĐH Bách khoa TP.HCM, Việt Nam	Đại học	20/10/2011
01/09/2012	Điện tử và máy tính	Chính quy	Trường ĐH RMIT, Việt Nam	Thạc sỹ	29/11/2014
01/02/2019	Kỹ thuật điện	Tập trung	Trường ĐH Khoa học và Công nghệ Quốc gia Cao Hùng, Đài Loan	Tiến sỹ	30/06/2022

Hoạt động học thuật

SCIE paper:

[1] Nguyen, T. P., Yeh, C. T., Cho, M. Y., Chang, C. L., & Chen, M. J. (2022). Convolutional neural network bidirectional long short-term memory to online classify the distribution insulator leakage currents. Electric Power Systems Research, 208, 107923. DOI: https://doi.org/10.1016/j.epsr.2022.107923

[2] Yeh, C. T., Thanh, P. N., & Cho, M. Y. (2022). Real-time leakage current classification of 15kV and 25kV distribution insulators based on bidirectional long short-term memory networks with deep learning machine. IEEE Access, 10, 7128-7140. DOI: https://doi.org/10.1109/ACCESS.2022.3140479

[3] Thanh, P. N., Cho, M. Y., Chang, C. L., & Chen, M. J. (2022). Short-Term Three-Phase Load Prediction With Advanced Metering Infrastructure Data in Smart Solar Microgrid Based Convolution Neural Network Bidirectional Gated Recurrent Unit. IEEE Access, 10, 68686-68699. DOI: https://doi.org/10.1109/ACCESS.2022.3185747

[4] Nguyen Thanh, P., & Cho, M. Y. (2022). Insulator Leakage Current Prediction Using Hybrid of Particle Swarm Optimization and Gene Algorithm-Based Neural Network and Surface Spark Discharge Data. Computational Intelligence and Neuroscience, 2022. DOI: https://doi.org/10.1155/2022/6379141

[5] Lee, C. H., Nguyen Thanh, P., Yeh, C. T., & Cho, M. Y. (2022). Three-Phase Load Prediction-Based Hybrid Convolution Neural Network Combined Bidirectional Long Short-Term Memory in Solar Power Plant. International Transactions on Electrical Energy Systems. DOI: https://doi.org/10.1155/2022/2870668

[6] Thanh, P. N., & Cho, M. Y. (2022). Multilevel categorizing leakage current of 15 kV HDPE insulators based bidirectional gated recurrent unit. Measurement, 202, 111779. DOI: https://doi.org/10.1016/j.measurement.2022.111779

[7] Thanh, P. N., & Cho, M. Y. (2023). Online leakage current classification using convolutional neural network long short-term memory for high voltage insulators on web-based service. Electric Power Systems Research, 216, 109065. DOI: https://doi.org/10.1016/j.epsr.2022.109065

[8] Liu, W. B., Nguyen Thanh, P., Cho, M. Y., & Nguyen Da, T. (2023). Categorizing 15 kV High-Voltage HDPE Insulator’s Leakage Current Surges Based on Convolution Neural Network Gated Recurrent Unit. Energies, 16(5), 2500. DOI: https://doi.org/10.3390/en16052500

[9] Nguyen-Da, T., Li, Y. M., Peng, C. L., Cho, M. Y., & Nguyen-Thanh, P. (2023). Tourism Demand Prediction after COVID-19 with Deep Learning Hybrid CNN–LSTM—Case Study of Vietnam and Provinces. Sustainability, 15(9), 7179. DOI: https://doi.org/10.3390/su15097179

[10] Da, T. N., Thanh, P. N., & Cho, M. Y. (2024). Novel cloud-AIoT fault diagnosis for industrial diesel generators based hybrid deep learning CNN-BGRU algorithm. Internet of Things, 26, 101164. DOI: https://doi.org/10.1016/j.iot.2024.101164

[11] Da, T. N., Cho, M. Y., & Thanh, P. N. (2024). Hourly load prediction based feature selection scheme and hybrid CNN‐LSTM method for building's smart solar microgrid. Expert Systems, e13539. DOI: https://doi.org/10.1111/exsy.13539

International Conference Paper:

[1] Nguyen, T. P., Yeh, C. T., Cho, M., & Huang, Y. (2020). Complementary grid power prediction using artificial neural network in the energy management system of a disaster prevention smart solar microgrid. International Journal of Smart Grid and Clean Energy, 9(5), 879-889. DOI: https://doi.org/ 10.12720/sgce.9.5.879-889

[2] Phuong Nguyen Thanh, Chao-Tsung Yeh, Ming-Yuan Cho, “Short-term solar PV power prediction based deep learning convolutional neural network in smart solar plant.” International Conference on Environmental Quality concern, control and conservation (2022)

[3] Phuong Nguyen Thanh, Chao-Tsung Yeh, Ming-Yuan Cho, “An efficient long short-term memory approach for load power prediction in smart solar microgrid.” International Conference on Environmental Quality concern, control and conservation (2022)

[4] Thanh, P. N., Yeh, C. T., & Cho, M. Y. (2022, July). Predicting Leakage Current of Distribution Insulators Based Deep Learning Gated Recurrent Unit. In 2022 5th Asia Conference on Energy and Electrical Engineering (ACEEE) (pp. 46-50). IEEE. DOI: https://doi.org/10.1109/ACEEE56193.2022.9851822

[5] Yeh, C. T., Thanh, P. N., Cho, M. Y., & Quoc, T. N. (2022, July). Short-Term Load Power Prediction Based Deep Learning Gated Recurrent Unit in Solar Power Plant. In 2022 5th Asia Conference on Energy and Electrical Engineering (ACEEE) (pp. 36-40). IEEE. DOI: https://doi.org/10.1109/ACEEE56193.2022.9851878

[6] Chao-Tsung, Y., Thanh, P. N., Ming-Yuan, C., & Meng-Jie, C. (2022, July). Design and Construction of Microgrid in Small Factories. In 2022 5th Asia Conference on Energy and Electrical Engineering (ACEEE) (pp. 85-89). IEEE. DOI: https://doi.org/10.1109/ACEEE56193.2022.9851871

[7] Da, T. N., Yimin, L., Peng, C. L., Cho, M. Y., Le Kim, K. N., & Thanh, P. N. (2022, July). Short-term Solar Power Prediction using Long Short-Term Memory in Solar Plant with Deep Learning Machine. In 2022 6th International Conference on Green Technology and Sustainable Development (GTSD) (pp. 651-656). IEEE. DOI: https://doi.org/10.1109/GTSD54989.2022.9989035

[8] Nguyen, T. P., Chew, M. T., & Demidenko, S. (2015, February). Eye tracking system to detect driver drowsiness. In 2015 6th International conference on automation, robotics and applications (ICARA) (pp. 472-477). IEEE. DOI: https://doi.org/10.1109/ICARA.2015.7081194

[9] Thao N. D., Yimin, L., Peng, C., Tien N. Q., Anh T. T. P., Luong N. N., Phuong N. T. (2023). Tourism demand prediction based deep learning long short-term memory: case study in Vietnam. In 2023 International Conference on Science, Education, and Viable Engineering.

[10] Thao N. D., Minh B. T., Cuong P. V., Luong N. N., Phuong N. T. (2023). 15KV HDPE insulator leakage current classification based deep learning gated recurrent unit. In 2023 International Conference on Science, Education, and Viable Engineering.

[11] Liu, W. B Minh B. T., Quyet N.D., Huong L.T., Trang N.T.T., Cho, M.Y., Thao N.D., Phuong N.T. (2024). A Failure Diagnosis Approach for Firefighting Pump based Deep Learning GRU Methodology. International Conference on System Science and Engineering (ICSSE)

[12] Liu, W. B Minh B. T., Tien N.Q., Van P.T., Cho, M.Y., Thao N.D., Phuong N.T. (2024). Failure Classified Method for Diesel Generators based Long Short-Term Memory Approach. International Conference on System Science and Engineering (ICSSE)

Lĩnh vực nghiên cứu

Research Areas:

•Smart Power System

•Application of AI in Power System

•Application of AI in AIoT System

•Optimized Algorithm in Power System

•Renewable Energy

•Smart Microgrid

•Deep Learning Machines

•Artificial Neural Networks

•Machine Learning

Artificial Intelligence Techniques

CÔNG TRÌNH KHOA HỌC ĐƯỢC CÔNG BỐ

(Thứ tự tên tác giả chính và cộng sự trong các bài báo được sắp xếp theo mã số cán bộ của Trường ĐHNT. Thông tin về tác giả chính và danh sách tác giả đầy đủ xin vui lòng tham khảo bài báo gốc.)

[1] A cloud-based leakage current classified system for high voltage insulators with improved particle swarm optimization and hybrid deep learning technique, Engineering Applications of Artificial Intelligence, Volume 143, 1 March 2025, 109987, 2025, (Thanh-Phuong Nguyen, Ming-Yuan Cho) [DOI]

[2] AIoT-based indoor air quality prediction for building using enhanced metaheuristic algorithm and hybrid deep learning, Journal of Building Engineering, Volume 105, 1 July 2025, 112448, 2025, (Nguyễn Thành Phương) [DOI]

[3] An incorporation of metaheuristic algorithm and two-stage deep learnings for fault classified framework for diesel generator maintenance, Engineering Applications of Artificial Intelligence, Volume 151, 1 July 2025, 110688, 2025, (Nguyễn Thành Phương) [DOI]

[4] Cloud-based AIoT intelligent infrastructure for firefighting pump fault diagnosis-based hybrid CNN-GRU deep learning technique, The Journal of Supercomputing, Volume 81, article number 462, (2025), 2025, (Da-Thao Nguyen, Thanh-Phuong Nguyen, Ming-Yuan Cho) [DOI]

[5] Online prognostic failure AIoT system for industrial generators maintenance service based two-stage deep learning algorithm, Control Engineering Practice, Volume 157, April 2025, 2025, (Da-Thao Nguyen, Thanh-Phuong Nguyen, Ming-Yuan Cho) [DOI]

[6] Hourly load prediction based feature selection scheme andhybrid CNN-LSTM method for building's smart solar microgrid, Expert Systems, Volume41, Issue7, 2024, (Nguyễn Thành Phương)

[7] Novel cloud-AIoT fault diagnosis for industrial diesel generators based hybrid deep learning CNN-BGRU algorithm, Internet of Things, Volume 26, July 2024, 2024, (Nguyễn Thành Phương)

[8] Advanced AIoT for Failure Classification of Industrial Diesel Generators based Hybrid Deep Learning CNN-BiLSTM Algorithm, Advanced Engineering Informatics, Volume 62, Part A, 2024, (Nguyễn Thành Phương)

[9] Optimizing K-means clustering center selection with density-based spatial cluster in radial basis function neural network for load forecasting of smart solar microgrid, Electrical Engineering, 2024, (Nguyễn Thành Phương)

[10] Real-time AIoT anomaly detection for industrial diesel generator based an efficient deep learning CNN-LSTM in industry 4.0, Internet of Things, Volume 27, 2024, (Nguyễn Thành Phương)

[11] Monthly Tourism Demand Forecasting With COVID‐19 Impact‐Based Hybrid Convolution Neural Network and Gate Recurrent Unit, International Journal of Tourism Research 26, no. 6 (2024): e2812., 2024, (Nguyễn Thành Phương)

[12] A cloud 15kV-HDPE insulator leakage current classification based improved particle swarm optimization and LSTM-CNN deep learning approach, Swarm and Evolutionary Computation, 91, 101755., 2024, (Nguyễn Thành Phương)

[13] Categorizing 15 kV High-Voltage HDPE Insulator’s Leakage Current Surges Based on Convolution Neural Network Gated Recurrent Unit, Energies, Volume 16, Issue 5, 2023, (Nguyễn Thành Phương)