Energy ICT: AI-IoT Convergence for Smart Energy Systems and Informatics
OUR RESEACH FOCUS
Our article "A Multi-step Time-Series Clustering-based Seq2Seq LSTM Learning for a Single HouseholdElectricity Load Forecasting" has been accepted for publication in Energies (March 2022)
Our article "Energy-Efficient Optimal Power Allocation for SWIPT Based IoT-Enabled Smart Meter" has been accepted for publication in MDPI Sensors - Special Issue Energy Harvesting Technologies and Applications for the Internet of Things and Wireless Sensor Networks (November 2021) [Link to Article]
Our article "Optimal Power Allocation for Maximizing Energy Efficiency in DAS-Based IoT Network" has been accepted for publication in IEEE System Journal - (July 2021) [Link to Article]
Our article "Latency-Optimal Network Intelligence Services in SDN/NFV-based Energy Internet Cyberinfrastructure" has been accepted for publication in IEEE Access - Special Section on Software Defined Networks for Energy Internet and Smart Grid Communications (January 2020) [Link to Article]
Our paper "Latency Minimization for Energy Internet Communications with SDN Virtualization Infrastructure" has been accepted and will be scheduled for presentation in the 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm '19) - Communications and Networks to Enable the Smart Grid Symposium, 21 - 24 October 2019, Beijing, China. (July 2019) [Link to Paper]