DARE 2014 - 2nd International Workshop on Data Analytics for Renewable Energy Integration

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.
Workshop Program
To Be Confirmed
Important Dates
Submission Deadline 20th of June, 2014
Notification to Authors 11th of July 2014
Camera-ready Deadline 25th of July 2014
Workshop day Sep 15 2014
Organizers
Wei Lee Woon (Masdar Institute)
Zeyar Aung (Masdar Institute)
Stuart Madnick (Massachusetts Institute of Technology)
You can contact us at:
dare2014 (at) dnagroup.org
Program Committee
Confirmed members (more to follow):
Wolfgang Lehner, Techniche Universitäte Dresden, Germany
David Lowe, Aston University, UK
Alvaro A. Cardenas, University of Texas at Dallas, USA
See-Kiong Ng, Institute for Infocomm Research, Singapore
Iyad Rahwan, Masdar Institute of Science and Technology, UAE
Kamran Shafi, University of New South Wales, Australia
Hatem Zeineldin, Masdar Institute of Science and Technology, UAE
Jeremy Lin, PJM Interconnection LLC, USA
Kelvin Sim, Institute for Infocomm Research, Singapore
Amer Al Hinai, Sultan Qaboos University, Oman
Bruce McMillin, Missouri University of Science and Technology, USA
Wilfred Walsh, National University of Singapore, Singapore
Panos Liatsis, City University London, UK
Dan Cornford, Aston University, UK
Oliver Kramer, University of Oldenburg, Germany
Mengling Feng, Massachusetts Institute of Technology, USA
Bogdan Trawinski, Wrocław University of Technology, Poland