The First International Workshop on Big Data Analysis for Smart Energy
(BigData4SmartEnergy 2018)

CALL FOR PAPERS

The First International Workshop on Big Data Analysis for Smart Energy (BigData4SmartEnergy 2018)

January 15, 2018, Shanghai, China

In conjunction with the 2018 IEEE International Conference on Big Data and Smart Computing (IEEE BigComp2018)

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

PAPER SUBMISSION

Prospective authors are invited to submit their papers, up to 4 pages in English and in PDF according to the IEEE two-column format for conference proceedings, through EasyChair using the link below. All submissions will be peer-reviewed by the Program Committees of the workshop.

Direct link for paper submission:
https://easychair.org/conferences/?conf=bigdata4smartenergy2

Paper templates:
IEEE_MSWord_Template.doc
IEEE_Latex_Template.zip


JOURNAL PUBLICATION

Selected papers will be recommended to relevant SCIE journals after further revision and extension.


IMPORTANT DATES (all deadlines fixed)

Paper submission due
November 05, 2017
Acceptance notification
November 19, 2017
Camera-ready copies due
November 27, 2017
Author registration due
November 27, 2017
Workshop date
January 15, 2018

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
  • Young-Seob Jeong, SoonChunHyang 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
  • Yong-Ik Yoon, Sookmyung Womens University, Korea
  • Seyoung Yun, KAIST, Korea

CONTACT

For any inquiries, please contact: