The 4th International Workshop on Big Data Analysis for Smart Energy
(BigData4SmartEnergy 2020)


The 4th International Workshop on Big Data Analysis for Smart Energy (BigData4SmartEnergy 2020)

November 17, 2020, Sorrento, Italy

In conjunction with the ICDM 2020: 20th IEEE International Conference on Data Mining

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


Prospective authors are invited to submit their papers, up to 8 pages plus 2 extra pages in English and in PDF according to the IEEE two-column format for conference proceedings, through the submission site link below. All submissions will be peer-reviewed by the Program Committees of the workshop.
Furthermore, as in previous years, papers that are not accepted by the ICDM main conference will be automatically sent to a workshop selected by the authors when the papers were submitted to the main conference. By the unique ICDM tradition, all accepted workshop papers will be published in the dedicated ICDMW proceedings published by the IEEE Computer Society Press.

Direct link for paper submission:

Paper templates:


All deadlines are at 11:59PM USA Eastern Standard Time.

Paper submission due
August 24, 2020 August 31, 2020
Acceptance notification
September 17, 2020
Camera-ready copies due
September 24, 2020
Workshop date
November 17, 2020


General Chair

  • Ho-Jin Choi, KAIST, Korea

Program Co-Chairs

  • Sung-Bae Cho, Yonsei University, Korea
  • Eenjun Hwang, Korea University, Korea
  • Kyuchul Lee, Chungnam National University, Korea
  • Yang-Sae Moon, Kangwon National University, Korea
  • Chan-Hyun Youn, KAIST, 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
  • Youssef Iraqi, Khalifa University, UAE
  • Young-Seob Jeong, SoonChunHyang University, Korea
  • Pilsung Kang, Korea University, Korea
  • Jinho Kim, Kangwon National University, Korea
  • Myoung Ho Kim, KAIST, Korea
  • Seung Wan Kim, Chungnam National University, Korea
  • Chang-Ki Lee, Kangwon National University, Korea
  • Kyong-Ho Lee, Yonsei University, Korea
  • Tae-Eog Lee, KAIST, Korea
  • Zhu Lingyun, Chongqing University of Technology, China
  • Loubna Mekouar, Zayed University, UAE
  • Cheong Hee Park, Chungnam National University, Korea
  • Jaecheol Ryou, Chungnam National University, Korea
  • Seungwon Shin, KAIST, Korea
  • Yong-June Shin, Yonsei University, Korea
  • Yong Wang, Chongqing University of Technology, China
  • Nan Xiang, Chongqing University of Technology, China
  • Chan Yeob Yeun, Khalifa University, UAE
  • Seyoung Yun, KAIST, Korea




For any inquiries, please contact: