Jangkyum Kim

According to our database, Jangkyum Kim authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Calibrating Low-Cost Smart Insole Sensors with Recurrent Neural Networks for Accurate Prediction of Center of Pressure.

Ho Seon Choi, Seokjin Yoon, Jangkyum Kim, Hyeonseok Seo, Jun Kyun Choi

Sensors, August, 2024

2023

Two-Stage Model-Based Predicting PV Generation with the Conjugation of IoT Sensor Data.

Youngju Heo, Jangkyum Kim, Seong Gon Choi

Sensors, November, 2023

Robust Operation Scheme of EV Charging Facility With Uncertain User Behavior.

Jangkyum Kim, Hyeontaek Oh

IEEE Trans. Ind. Informatics, October, 2023

2022

EggBlock: Design and Implementation of Solar Energy Generation and Trading Platform in Edge-Based IoT Systems with Blockchain.

Subin Kwak, Joohyung Lee, Jangkyum Kim, Hyeontaek Oh

Sensors, 2022

Machine learning based photovoltaic energy prediction scheme by augmentation of on-site IoT data.

Jaeeun Park, Jangkyum Kim, Sanghyun Lee, Jun Kyun Choi

Future Gener. Comput. Syst., 2022

Data-driven cost-effective capacity provisioning scheme in electric vehicle charging facility.

Jangkyum Kim, Hyeontaek Oh, Joohyung Lee

Comput. Ind. Eng., 2022

Power Scheduling Scheme for a Charging Facility Considering the Satisfaction of Electric Vehicle Users.

Jangkyum Kim, Joohyung Lee, Sangdon Park, Jun Kyun Choi

IEEE Access, 2022

2021

Intelligent Energy Management System to Reduce Total Electricity Charge in Consumer Perspective.

Jaeeun Park, Jangkyum Kim, Jun Kyun Choi

Proceedings of the IEEE International Conference on Consumer Electronics, 2021

2020

Joint Demand Response and Energy Trading for Electric Vehicles in Off-Grid System.

Jangkyum Kim, Joohyung Lee, Jun Kyun Choi

IEEE Access, 2020

Seal-bid renewable energy certification trading in power system using blockchain technology.

Jangkyum Kim, Hyunseo Park, Gyeong Ho Lee, Jun Kyun Choi, Youngjoo Heo

Proceedings of the International Conference on Information and Communication Technology Convergence, 2020

Power management system in the microgrid with the proper electric vehicle data preprocessing.

Jangkyum Kim, Nakyoung Kim, Jaeseob Han, Hyeonseok Seo, Jun Kyun Choi

Proceedings of the International Conference on Information and Communication Technology Convergence, 2020

Building Energy Management Technology Considering Usual Power Consumption Pattern and Prediction Uncertainty.

Hyeonseok Seo, Jangkyum Kim, Nakyoung Kim, Jaeseob Han, Jun Kyun Choi

Proceedings of the 2020 IEEE International Conference on Consumer Electronics (ICCE), 2020

2019

Battery-Wear-Model-Based Energy Trading in Electric Vehicles: A Naive Auction Model and a Market Analysis.

Jangkyum Kim, Joohyung Lee, Sangdon Park, Jun Kyun Choi

IEEE Trans. Ind. Informatics, 2019

Optimal reserve portion of energy storage system with the consideration of data uncertainty.

Jangkyum Kim, Jaeseob Han, Jun Kyun Choi, Kyuntae Kim, Kangsan Kim

Proceedings of the 2019 International Conference on Information and Communication Technology Convergence, 2019

Prediction of power consumption in the factory using long-short term memory.

Jangkyum Kim, Jun Kyun Choi, Youngjoo Heo, Hyunseok Seo, Jaeseob Han

Proceedings of the 2019 International Conference on Information and Communication Technology Convergence, 2019

2018

Analysis of power usage at household and proper energy management.

Jangkyum Kim, Jaeseob Han, Nakyoung Kim, Minkyung Kim, Jun Kyun Choi

Proceedings of the International Conference on Information and Communication Technology Convergence, 2018

Two stage market model in microgrid using cooperative game theory.

Jangkyum Kim, Youngjoo Heo, Gyeong Ho Lee, Joohyung Lee, Hyeontaek Oh, Jun Kyun Choi

Proceedings of the IEEE 7th Global Conference on Consumer Electronics, 2018

Energy Operation System Using Uncertain Electric Data in Korean Tariff System.

Jangkyum Kim, Nakyung Kim, Kangsan Kim, Jaeseob Han, Joohyung Lee, Jun Kyun Choi

Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018