World's Best Scientists 2026 revealed!
Seung Ho Hong

Seung Ho Hong

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
31
Citations
4962
World Ranking
6505
National Ranking
236

Overview

Seung Ho Hong is affiliated with Hanyang University in South Korea, focusing on research within the fields of Engineering and Computer Science. Their work predominantly spans subfields such as Industrial and Manufacturing Engineering, Electrical and Electronic Engineering, Computer Networks and Communications, Hardware and Architecture, and Automotive Engineering.

The scientist's research mainly addresses several key topics including:

  • Digital Transformation in Industry
  • Flexible and Reconfigurable Manufacturing Systems
  • Network Time Synchronization Technologies
  • Smart Grid Energy Management
  • IoT and Edge/Fog Computing
  • Electric Power System Optimization
  • Real-Time Systems Scheduling

Seung Ho Hong has contributed to multiple publication venues with a concentration in IEEE Access, where they have published five papers. Other venues include IEEJ Transactions on Electrical and Electronic Engineering, IEEE Industrial Electronics Magazine, Applied Energy, and the Saudi Journal of Biological Sciences.

Notable recent publications include:

  • "An Industry 4.0 Asset Administration Shell-Enabled Digital Solution for Robot-Based Manufacturing Systems" (2021, IEEE Access)
  • "Toward the Plug-and-Produce Capability for Industry 4.0: An Asset Administration Shell Approach" (2020, IEEE Industrial Electronics Magazine)
  • "Practical Implementation of an OPC UA TSN Communication Architecture for a Manufacturing System" (2020, IEEE Access)
  • "Testbed implementation of reinforcement learning-based demand response energy management system" (2021, Applied Energy)
  • "Remaining Useful Life Prediction of Lithium Batteries Based on Extended Kalman Particle Filter" (2021, IEEJ Transactions on Electrical and Electronic Engineering)

Their frequent coauthors include Junhui Jiang, Mengmeng Yu, Xun Ye, Xiongfeng Zhang, and Changdae Lee. These collaborations appear across numerous projects, reflecting consistent teamwork within their specialized domains.

Best Publications

  • A Dynamic pricing demand response algorithm for smart grid: Reinforcement learning approach

    Renzhi Lu;Seung Ho Hong;Xiongfeng Zhang

  • Incentive-based demand response for smart grid with reinforcement learning and deep neural network

    Renzhi Lu;Seung Ho Hong

  • A Real-Time Demand-Response Algorithm for Smart Grids: A Stackelberg Game Approach

    Mengmeng Yu;Seung Ho Hong

  • Demand Response for Home Energy Management Using Reinforcement Learning and Artificial Neural Network

    Renzhi Lu;Seung Ho Hong;Mengmeng Yu

  • Scheduling algorithm of data sampling times in the integrated communication and control systems

    Seung Ho Hong

  • A Demand Response Energy Management Scheme for Industrial Facilities in Smart Grid

    Yue Min Ding;Seung Ho Hong;Xiao Hui Li

  • Supply–demand balancing for power management in smart grid: A Stackelberg game approach

    Mengmeng Yu;Seung Ho Hong

  • Incentive-based demand response considering hierarchical electricity market: A Stackelberg game approach

    Mengmeng Yu;Seung Ho Hong

  • An Incentive-Based Demand Response (DR) Model Considering Composited DR Resources

    Mengmeng Yu;Seung Ho Hong;Yuemin Ding;Xun Ye

  • Bandwidth allocation scheme in CAN protocol

    S.H. Hong;W.-H. Kim

  • An IoT-based energy-management platform for industrial facilities

    Min Wei;Min Wei;Seung Ho Hong;Musharraf Alam

  • Electro-Optic Characteristic of Fringe-Field Switching Mode Depending on Rubbing Direction

    Seung Ho Hong;In Cheol Park;Hyang Yul Kim;Seung Hee Lee

  • Toward Industry 4.0 Components: Insights Into and Implementation of Asset Administration Shells

    Xun Ye;Seung Ho Hong

  • Real-Time Demand Bidding for Energy Management in Discrete Manufacturing Facilities

    Yi-Chang Li;Seung Ho Hong

  • Implementation of a bandwidth allocation scheme in a token-passing fieldbus network

    Seung Ho Hong;Yu Chul Kim

  • Hour-Ahead Price Based Energy Management Scheme for Industrial Facilities

    Xuefei Huang;Seung Ho Hong;Yuting Li

  • Experimental Case Study of a BACnet-Based Lighting Control System

    Tae-Jin Park;Seung-Ho Hong

  • A real-time demand response algorithm for heterogeneous devices in buildings and homes

    Seung Ho Hong;Mengmeng Yu;Xuefei Huang

  • Demand Response Management for Industrial Facilities: A Deep Reinforcement Learning Approach

    Xuefei Huang;Seung Ho Hong;Mengmeng Yu;Yuemin Ding

  • Bandwidth allocation scheme for cyclic-service fieldbus networks

    Seung Ho Hong

  • Bandwidth allocation scheme for cyclic-service fieldbus networks

    Seung Ho Hong

  • A real-time decision model for industrial load management in a smart grid

    Mengmeng Yu;Renzhi Lu;Seung Ho Hong

  • Implementation of a KNX-ZigBee gateway for home automation

    Woo Suk Lee;Seung Ho Hong

  • An Industry 4.0 Asset Administration Shell-Enabled Digital Solution for Robot-Based Manufacturing Systems

    Xun Ye;Seung Ho Hong;Won Seok Song;Yu Chul Kim

  • Implementation and evaluation of the apparatus for intelligent energy management to apply to the smart grid at home

    In-Ho Choi;Joung-Han Lee;Seung-Ho Hong

Frequent Co-Authors

Young Hee Lee
Young Hee Lee Sungkyunkwan University
Peter Palensky
Peter Palensky Delft University of Technology

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