Publications by authors named "Hyo-Sik Yang"
Article Synopsis
- - The paper evaluates four forecasting algorithms—ARIMA, SARIMA, LSTM, and SVM—for short-term load forecasting using data from Advanced Metering Infrastructure (AMI) systems, focusing on their effectiveness in predicting electricity usage.
- - Findings reveal that SVM excels in managing nonlinear patterns, SARIMA effectively identifies seasonal trends, and LSTM handles complex dependencies but requires careful tuning and ample training data.
- - The study provides practical guidelines for choosing the right forecasting model based on specific data characteristics, emphasizing the integration of advanced techniques to improve demand response strategies and energy management in smart grids.
Architecture for Enhancing Communication Security with RBAC IoT Protocol-Based Microgrids.
Sensors (Basel)
September 2024
In traditional power grids, the unidirectional flow of energy and information has led to a decrease in efficiency. To address this issue, the concept of microgrids with bidirectional flow and independent power sources has been introduced. The components of a microgrid utilize various IoT protocols such as OPC-UA, MQTT, and DDS to implement bidirectional communication, enabling seamless network communication among different elements within the microgrid.
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