Xinlin Wang

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Sung-Hoon Ahn (안성훈 교수)Professor, Mechanical Engineering, Seoul National University, KoreaVerified email at snu.ac.kr
Insoon YangSeoul National UniversityVerified email at snu.ac.kr
Hyungjung KimAssistant Professor of the Department of Industrial Engineering at Konkuk UniversityVerified email at konkuk.ac.kr
Binayak Bhandari, Ph.DSeoul National University / UNSW Sydney / Woosong University / MIT(Sydney) / Victoria UniversityVerified email at snu.ac.kr
Thomas Joon Young KimSeoul National UniversityVerified email at snu.ac.kr
Yingjun QUANSeoul National UniversityVerified email at snu.ac.kr
Hao WangSenior Lecturer, ARC DECRA Fellow, Monash UniversityVerified email at stanford.edu
Gil-Yong LeeAssociate Professor, Kumoh National Institute of TechnologyVerified email at kumoh.ac.kr
Robert FloresAdvanced Power and Energy Program, University of California, IrvineVerified email at apep.uci.edu
Jacob (Jack) BrouwerUniversity of California, IrvineVerified email at uci.edu
D.H. KimThe Catholic University of KoreaVerified email at catholic.ac.kr

Xinlin Wang

CSIRO

Verified email at csiro.au

Artificial Intelligence Smart grid the Internet of Things Sustainable development


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Smart machining process using machine learning: A review and perspective on machining industry DH Kim, TJY Kim, X Wang, M Kim, YJ Quan, JW Oh, SH Min, H Kim, ... International Journal of Precision Engineering and Manufacturing-Green …, 2018	290	2018
Real-time prediction and anomaly detection of electrical load in a residential community X Wang, SH Ahn Applied Energy 259, 114145, 2020	73	2020
Sample efficient home power anomaly detection in real time using semi-supervised learning X Wang, I Yang, SH Ahn IEEE Access 7, 139712-139725, 2019	46	2019
Demand-side management for off-grid solar-powered microgrids: A case study of rural electrification in Tanzania X Wang, H Wang, SH Ahn Energy 224, 120229, 2021	30	2021
A real-time electrical load forecasting and unsupervised anomaly detection framework X Wang, Z Yao, M Papaefthymiou Applied Energy 330, 120279, 2023	25	2023
Low-cost far-field wireless electrical load monitoring system applied in an off-grid rural area of Tanzania X Wang, B Ha, GY Lee, H Kim, J Yu, H Rhee, KN Njau, YAC Jande, ... Sustainable Cities and Society 59, 102209, 2020	15	2020
Off-grid power plant load management system applied in a rural area of africa X Wang, HS Rhee, SH Ahn Applied Sciences 10 (12), 4171, 2020	10	2020
Real-time detection of electrical load anomalies through hyperdimensional computing X Wang, R Flores, J Brouwer, M Papaefthymiou Energy 261, 125042, 2022	8	2022
Arduino-based low-cost electrical load tracking system with a long-range mesh network XL Wang, B Ha, FA Manongi, WK Jung, YAC Jande, SH Ahn Advances in Manufacturing 9, 47-63, 2021	7	2021
A dual-mode real-time electrical load forecasting framework X Wang, M Papaefthymiou 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2022	5	2022
AI-Empowered Methods for Smart Energy Consumption: A Review of Load Forecasting, Anomaly Detection and Demand Response X Wang, H Wang, B Bhandari, L Cheng International Journal of Precision Engineering and Manufacturing-Green …, 2023	2	2023
Vaccine Cold Chain Monitoring System Using IoT Vaccine Fridge for Developing Countries JH Lyu, S Park, JH Yu, XL Wang, HS Im, HS Rhee, SH Ahn Journal of Appropriate Technology 7 (1), 26-32, 2021		2021

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