CALL FOR PAPERS
The 2nd International Workshop on Big Data Analysis for Smart Energy (BigData4SmartEnergy 2019)
February 27, 2019, Kyoto, Japan
In conjunction with the IEEE BigComp 2019 - 6th IEEE International Conference on Big Data and Smart Computing
Purpose and Scope
AI-based smart energy deals with the challenges of using big data and AI techniques for the efficient management of energy resources and facilities, the timely detection of energy problems and anomalies, and the effective prediction of energy demands and services in the future, hence has already become an important area of research in many countries. This workshop aims to create opportunities to share on-going works in smart energy industry and academia, to enhance collaboration between energy researchers and data scientists, and to foster new innovations of AI, big data, and smart computing technologies in such areas as smart energy platforms and infrastructure, monitoring and analysis of energy big data, customized demand forecast in smart cities, smart homes, and electric vehicles, new innovative energy services, and so on. Prospective authors are cordially invited to submit their original contributions covering completed or ongoing work in (but not limited to) the following areas:
- Innovative AI techniques for future energy services and monitoring
- Intelligent techniques for smart energy platforms and infrastructure
- Big data analytics for smart energy operations, measurement and control
- Real-time handling and storage of stream data for power facilities
- Intelligent monitoring and real-time analysis of power energy big data
- Data mining and metadata annotation of power energy big data
- Big data- and/or block chain-based security systems for energy services
- Evaluation, monitoring and visualization techniques for energy big data
- Intelligent asset management of transmission and distribution facilities
- Machine learning techniques for anomaly detection in power services
- Electricity demand prediction for smart homes and smart cities
- Smart grid and customized energy services demand prediction
- Energy ecosystems and related issues
JOURNAL PUBLICATION
Selected papers will be recommended to relevant SCIE journals after further revision and extension.
IMPORTANT DATES
- Paper submission due
December 3, 2018 January 18, 2019- Acceptance notification
December 21, 2018 January 23, 2019- Camera-ready copies due
December 28, 2018 January 31, 2019- Author registration due
December 28, 2018 January 25, 2019- Workshop date
- February 27, 2019
ORGANIZING COMMITTEE
General Chair
- Ho-Jin Choi, KAIST, Korea
Organizing Chairs
- Chan-Hyun Youn, KAIST, Korea
- Kyuchul Lee, Chungnam National University, Korea
- Jinho Kim, Kangwon National University, Korea
- Eenjun Hwang, Korea University, Korea
- Sung-Bae Cho, Yonsei University, Korea
Program Committee
- Hoon Choi, Chungnam National University, Korea
- Jun Kyun Choi, KAIST, Korea
- Mi-Jung Choi, Kangwon National University, Korea
- Jaegul Choo, Korea University, Korea
- Pilsung Kang, Korea University, Korea
- Myoung Ho Kim, KAIST, Korea
- Chang-Ki Lee, Kangwon National University, Korea
- Kyong-Ho Lee, Yonsei University, Korea
- Tae-Eog Lee, KAIST, Korea
- Yang-Sae Moon, Kangwon National University, Korea
- Cheong Hee Park, Chungnam National University, Korea
- Jaecheol Ryou, Chungnam National University, Korea
- Seungwon Shin, KAIST, Korea
- Yong-June Shin, Yonsei University, Korea
- Seyoung Yun, KAIST, Korea
PROGRAM
08:50-09:30, February 27 (Wednesday), 2019
Registration
09:30-09:40, February 27 (Wednesday), 2019
Opening Address (Ho-Jin Choi, KAIST, Korea)
09:40-10:40, February 27 (Wednesday), 2019
Session 1
- Surveillance Video-based Warning System of Extreme Rainfall for Power Grid
- Zhun Li, Jonghwan Hyeon and Ho-Jin Choi (KAIST, Korea)
- Generative Adversarial Tic-tac-toe Generation for Explainable Game Generation
- Dongkun Lee and Ho-Jin Choi (KAIST, Korea)
- Gradient Compression with Random Projection
- Sangmook Kim and Se-Young Yun (KAIST, Korea)
10:40-11:00, February 27 (Wednesday), 2019
Coffee Break
11:00-12:00, February 27 (Wednesday), 2019
Keynote Speech
- AI for Smary Energy
- Hyeonkyu Lee and Ho-Jin Choi (KAIST, Korea)
12:00-14:00, February 27 (Wednesday), 2019
Lunch Break
14:00-16:00, February 27 (Wednesday), 2019
Session 2
- Multilayer Perceptron-based Ensemble Model for Short-term Electric Load Forecasting
- Seungwon Jung, Minjae Son, Jihoon Moon and Eenjun Hwang (Korea University, Korea)
- Optimizing Hyper-parameters of Artificial Neural Network for Short-Term Load Forecasting
- Sungwoo Park, Jihoon Moon and Eenjun Hwang (Korea University, Korea)
- Building Energy Consumption Forecasting: Enhanced Deep Learning Approach
- Jonghwan Hyeon, Hyeyoung Lee, Bowon Ko and Ho-Jin Choi (KAIST, Korea)
- Comparison of Simulation Tools for the Future Distribution System
- Gyul Lee, Seonhyeog Kim and Yong-June Shin (Yonsei University, Korea)
- Detecting Spammers on Social Networks Using Strongly Connected Components in the Distributed Environment
- Heesang Kim, Suan Lee, Sungjin Park and Jinho Kim (Kangwon National University, Korea)
- Query Workload-aware RDF Data Partitioning Using Clustering Algorithm in Smart Grid
- Dong-Jae Lee, Ina Kim and Kyu-Chul Lee (Chungnam National University, Korea)
16:00-16:20, February 27 (Wednesday), 2019
Coffee Break
16:20-18:00, February 27 (Wednesday), 2019
Session 3
- An Automatic Collection System for Open Data in the Public Sector
- Juhong Namgung, Myeong-Seon Gil and Yang-Sae Moon (Kangwon National University, Korea)
- Encryption Broker Service for Data Center in Electric Power Infrastructure
- Dongseop Lee, Hyunjin Kim and Jaecheol Ryou (Chungnam National University, Korea)
- False Building Type Detection by Energy Usage Analysis
- Minsu Kwon, Zhun Li and Ho-Jin Choi (KAIST, Korea)
- A Study of Privacy Protection Researches for Location-based Queries in LBS
- Chris Soo-Hyun Eom and Wookey Lee (Inha University, Korea)
- Restoration of Lost Context for Language Modeling
- Chan-Yong Park, Chae-Gyun Lim, Young-Jun Lee and Ho-Jin Choi (KAIST, Korea)
18:00-18:10, February 27 (Wednesday), 2019
Closing Remarks (Ho-Jin Choi, KAIST, Korea)