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한밭대학교컴퓨터공학과

HIGHHANBAT

EcoAI

EcoAI

About the Lab

The EcoAI Lab focuses on research and development of cutting-edge technologies to address environmental challenges posed by climate change and sustainable energy management for climate crisis response. Our lab leverages artificial intelligence (AI), deep learning, big data analytics, and optimization technologies to deliver innovative solutions for smart factories, smart homes, and sensor network systems.

Advisor: Sanggeum Lee

Thesis

  1. “Incorporating Energy Storage System into Grid Connected PV System with the Application of WSN,” Journal of Energy Storage, 2024.
  2. “A two-phase spatiotemporal chaos-based protocol for data integrity in IoT,” Scientific Reports, 2024.
  3. “An innovative machine learning based on feed-forward artificial neural network and equilibrium optimization for predicting solar irradiance,” Scientific Reports, 2024.
  4. “Skin cancer diagnosis (SCD) using Artificial Neural Network (ANN) and Improved Gray Wolf Optimization (IGWO),” Scientific Reports, 2023.
  5. “A new conceptual model to investigate the role of hospital's capabilities on sustainable learning,” Heliyon, 2023.
  6. “A Secure Chaos-based Lightweight Cryptosystem for the Internet of Things,” IEEE Access, 2023.
  7. “Invariant set-based DC microgrid decentralized actuator fault-tolerant control,” IEEE Access, 2023.
  8. “Application of Binary Slime Mould Optimization Algorithm for solving Unit Commitment Problem,” IEEE Access, 2023.
  9. “Anomaly Detection of Smart Metering System for Power Management with Battery Storage System/Electric Vehicle,” ETRI Journal, 2023.
  10. “Peer-to-peer energy trading between nanogrids with utilization of energy storage system considering battery degradation cost,” Energy and Buildings, 2023.
  11. “Power Management in Smart Residential Building with Deep Learning Model for Occupancy Detection by Usage Pattern of Electric Appliances,” 2023 5th International Electronics Communication Conference (IECC 2023), 2023. (Talk).
  12. “Integrated control of radiant floor heating system in residential buildings,” Building Simulation 2023, 2023(Talk).
  13. “Factory Energy Management by Steam Energy Cluster Modeling in Paper-Making,” 11th International Conference on Smart Grid 2023 (icsmartgrid 2023), 2023(Talk)

Patents

  1. Artificial Intelligence-based Peer-To-Peer Power Trading Method and Peer-To-Peer Power Trading Device (10-2021-0051023)
  2. Artificial Intelligence-based Peer-To-Peer Power Trading Method and Peer-To-Peer Power Trading Device (10-2601197)
  3. Artificial Intelligence Based p2p Power Trading Method and Apparatus(US17/674624, 2022/2)
  4. Artificial Intelligence Abnormality Detection and Charge/Discharge Control Method of Battery/Electric Vehicle in Smart Metering System (10-2022-0122673)
  5. Smart Home Control System With Integrated Control Rules and Artificial Intelligence (10-2023-0008939)
  6. Power Management System and Method (10-2023-0095478)
  7. AI Techniques for Occupancy-Based Home Energy Management Using Appliance Usage Patterns (10-2023-0150848)
  8. Link Scheduling Techniques in Wireless Sensor Networks Based on Renewable Energy Generation Forecasting (10-2022-0179530)
  9. How to Improve Fault Diagnosis and Accuracy in Piping Systems
  10. Methods and Systems for Diagnosing and Monitoring Process Anomalies in Factory Energy Management Systems