1. Fields of academic interests

• Renewable Energy integration to power grid, Smart grid, Protection of DG integrated networks, Application of Artificial Intelligence to Power Systems and Power quality.

1. Field of Specialisation

• Power Systems

1. Journal articles.

Research output in five years: 2023 -2018

• Tlotlollo S. Hlalele, Yanxia Sun, and Zenghui Wang, "Intelligent Fault Detection Based on Reinforcement Learning Technique on Distribution Networks," Journal of Advances in Information Technology, Vol. 14, No. 3, pp. 463-471, 2023.
• Tlotlollo S Hlalele, Yanxia Sun, Zenghui Wang, "Voltage Control on Distributed Generation Systems based on Multi-Agent Reinforcement learning approach," International Journal of Engineering Trends and Technology, vol. 71, no. 2, pp. 186-196, 2023. Crossref

• TS Hlalele, Y Sun, Z Wang - “Faults Classification and Identification on Smart Grid: Part-A Status Review” Procedia Manufacturing, 2019 pp 601-606
• Hlalele TS “Using Radio Frequency Identification for Asset Monitoring” Africa at a crossroads: Future Prospects for Africa 2018 chapter 4 pp 59 - 74
• T.S Hlalele, “Enhancing Skills Transfer for first year Engineering Students in Higher Education”, International Journal of Engineering Education, Vol. 40, No. 5, pp. 1-14, 2024.
• Tlotlollo Sidwell Hlalele, “Research Trends in High Voltage Power Transmission," International Journal of Engineering Trends and Technology, vol. 72, no. 8, pp. 139-148, 2024
• P. Makungo, T.S Hlalele and M. Sumbwanyambe, “Short-term prediction of Power Outages in Electrical Distribution Networks”, Archives in Electrical Engineering, VOL. 73(4), pp. 1103 –1121 (2024)
• M.A Sephuma, T.S Hlalele and M. Sumbwanyambe, “Model predictive control of a Permanent Magnet Synchronous Generator based on a Wind Energy System”, International Journal of Applied Engineering and Technology, vol. 6, no. 2 pp. 46-58, 2024
• M. Kekana, M. Sumbwanyambe and T.S Hlalele, “Advanced Machine Learning in Quantitative Finance Using A Graph Neural Network”, Journal of Advances in Information Technology, Vol. 15, No. 9, pp. 1025-1034, 2024. doi: 10.12720/jait.15.9.1025-1034
• Sipho P Lafleni, Mbuyu Sumbwanyambe, Tlotlollo S Hlalele, "Intelligent Fault Detection Technique for a Distribution Network with Distributed Generation Sources - Status Review," International Journal of Engineering Trends and Technology, vol. 71, no. 8, pp. 333-347, 2023

Peer reviewed conferences

Conference papers: 2023 -2018

Please use this format:

• L. Mokoena, T. Hlalele and M. Sumbwanyambe, "A Parking Assistant System for Residential Applications," 2024 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD), Port Louis, Mauritius, 2024, pp. 1-9, doi: 10.1109/icABCD62167.2024.10645231. (icABCD).
• S. P. Lafleni, M. Sumbwanyambe and T. S. Hlalele, "Data Driven Artificial Neural Network Fault Classification by Bayesian Optimization," 2024 IEEE PES/IAS PowerAfrica, Johannesburg, South Africa, 2024, pp. 1-6, doi: 10.1109/PowerAfrica61624.2024.10759484.
• S. Hlalele, "Evaluation of the New Electrical Engineering Program Qualification Mix (PQM) in an Open Distance Learning (ODeL) Environment," 2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Singapore, Singapore, 2023, pp. 0411-0415, doi: 10.1109/IEEM58616.2023.10406500.
• Daniel, T. Hlalele and M. Sumbwanyambe, "Minimization of Power Losses through Optimal Integration of Photovoltaic System on Medium Voltage Transmission Line," 2024 32nd Southern African Universities Power Engineering Conference (SAUPEC), Stellenbosch, South Africa, 2024, pp. 1-9, doi: 10.1109/SAUPEC60914.2024.10445045.
• P. Lafleni, M. Sumbwanyambe and T. S. Hlalele, "Multi-class Fault Analysis Using Quadratic SVM Classifier Fault Detection Technique for Micro-grid," 2024 32nd Southern African Universities Power Engineering Conference (SAUPEC), Stellenbosch, South Africa, 2024, pp. 1-6, doi: 10.1109/SAUPEC60914.2024.10445052.
• D. Chinnasamy, M. Sumbwanyambe and T. S. Hlalele, "Acoustic Anomaly Detection of Machinery using Autoencoder based Deep Learning," 2024 32nd Southern African Universities Power Engineering Conference (SAUPEC), Stellenbosch, South Africa, 2024, pp. 1-6, doi: 10.1109/SAUPEC60914.2024.10445053.
• H. Numbi, S. Mbuyu and T. S. Hlalele, "Development of an ESP32 Smart and Safe Outdoor Plant Watering System," 2024 32nd Southern African Universities Power Engineering Conference (SAUPEC), Stellenbosch, South Africa, 2024, pp. 1-6, doi: 10.1109/SAUPEC60914.2024.10445039.
• Lesetja S Mabunda, and Tlotlollo S Hlalele. “Design and construction of a web-based communication interface for home automation.”2023 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD). IEEE, 2023.
• Hlalele, Sidwell, and Patrice Umenne. "The impact of virtual learning environments on the practical skills of open distance learning students in electrical engineering." 2022 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD). IEEE, 2022.
• S Ndhlamblenze, TS Hlalele–“Earth Grid Design for 400KV Neiuwehoop Substation Using CDEGS Platform” 2020 IEEE PES/IAS PowerAfrica, 2020 pp 1-5
• Patrice Umenne, Sidwell Hlalele “ Evaluation of the effectiveness of Virtual laboratory’s for Electronics in the Open distance learning Context” IEEE icABCD 2020 pp 1-5
• EJ Raubenheimer, TS Hlalele, AA Yusuff “A System Based Protection Test Solution for Eskom Sub-Transmission Lines” IEEE SAUPEC 2020 pp1-7
• TS Hlalele, PM Mothibeli, S Sumbanyambe “An Approach to Integrate Skills Development in Open Distance Learning (ODL)- 2018 IEEE International Conference on Industrial Engineering pp 321-325
• D Tshali, M Sumbwanyambe, TS Hlalele– “Towards a GSM enabled remote monitoring medical system” 2018 3rd Biennial South African Biomedical 2018 pp 1-4

1. Professional positions, fellowships & awards

Professional Affiliation

• IEEE, Member
• ECSA Member PrTechEng

Short Biography

Mr. TS Hlalele is a lecturer in the department of Electrical & Mining Engineering, College of Science, Engineering and Technology (CSET), University of South Africa (UNISA). Prior to this he worked at Central University of Technology (CUT) in the school of Electrical and Computer Systems Engineering as an Assistant lecturer, worked at Lesotho Highlands Water Project (LHDA) based at ‘Muela Hydro-power Station as an Electrical Technician. Also experienced in design and construction of LV/MV distribution networks.

1. Expertise

• Renewable Energy Integration to power grid, smart grid, power systems.