Technical And Automation Intern
Evnict Hcmc
Ho Chi Minh City, Vietnam
Provided infrastructure capacity analysis, using valuable insights from collected data to solve optimal power flow problems in microgrids, considering various constraints and objectives Integrated fault indicators (Siemens, Schneider Electrics) with IoT capabilities into detection systems, combining physical systems with digital data for enhanced monitoring and controlDeveloped AI-based demand response strategies optimized by HHO to balance grid load and reduce costs, transformed existing, manual algorithm to be compatible for AI capabilities for forecasting energy consumption and optimizing grid operationsUtilized Harris Hawks Optimization (HHO) to select the most relevant features from large datasets for improved fault classification accuracy, creating robust and efficient fault detection systemsCombined HHO and Wavenet model for real-time energy management decisions in microgrids, considering uncertainties and dynamic conditionsEmployed AI and HHO to detect anomalies and outliers in grid data for early warning systems.Co-wrote and published a paper entitled Hybrid HHO-Wavenet Model Applies in Short-term Load Forecasting for Microgrid System