Welcome to DARE'18!

Climate change, the depletion of natural resources and rising energy costs have led to an increasing focus on renewable sources of energy. A lot of research has been devoted to the technologies used to extract energy from these sources; however, equally important is the storage and distribution of this energy in a way that is efficient and cost effective. Achieving this would generally require integration with existing energy infrastructure.

The challenge of renewable energy integration is inherently multidisciplinary and is particularly dependant on the use of techniques from the domains of data analytics, pattern recognition and machine learning. Examples of relevant research topics include the forecasting of electricity supply and demand, the detection of faults, demand response applications and many others. This workshop will provides a forum where interested researchers from the various related domains will be able to present and discuss their findings.

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Important Dates

Submission Deadline16th of July, 2018 (extended)
Notification to Authors23rd of July 2018
Camera-ready Deadline6th of August 2018
Workshop day10th of September 2018

Organizers

  • Wei Lee Woon (Masdar Institute, Khalifa University)
  • Zeyar Aung (Masdar Institute, Khalifa University)
  • Stuart Madnick (Massachusetts Institute of Technology)
  • Alejandro Catalina Feliú (Universidad Autonoma de Madrid)
You can contact us at:
wlwoon (at) deeplearn.net , dare2018 (at) easychair.org

Program Committee

  • Azar, Elie, Khalifa University of Science and Technology, UAE
  • Catalão, João, University of Beira Interior, Portugal
  • Faisal, Mustafa Amir, University of Texas at Dallas, USA
  • Kayem, Anne, Hasso-Plattner Institute, Germany
  • Li, Xiaoli, Institute for Infocomm Research, Singapore
  • Mashima, Daisuke, Advanced Digital Sciences Center, Singapore
  • Neupane, Bijay, Aalborg University, Denmark
  • Ouarda, Taha, National Institute of Scientific Research, Canada
  • Peng, Jimmy, National University of Singapore, Singapore
  • Saraiva, Filipe, Federal University of Para, Brazil
  • Sayed-Mouchaweh, Moamar, Institute Mines-Telecom Lille Douai, France
  • Xiao, Weidong, University of Sydney, Australia
  • Zhong, Haiwang, Tsinghua University, China