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DARE 2015 : ECML/PKDD 2015, 3rd International Workshop on Data Analytics for Renewable Energy Integration

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Link: http://dare2015.dnagroup.org/
 
When Sep 11, 2015 - Sep 11, 2015
Where Porto, Portugal
Submission Deadline Jul 6, 2015
Notification Due Jul 13, 2015
Final Version Due Jul 27, 2015
Categories    renewable energy   data mining   data analytics   smart grid
 

Call For Papers

[DARE 2015: To be published as Springer's LNAI post-proceedings]

Concerns about climate change, energy security and dwindling fossil fuel reserves are stimulating ever increasing interest in the generation, distribution and management of renewable energy. While a lot of attention has been devoted to generation technologies, an equally important challenge is the integration of energy extracted from renewable resources into existing electricity distribution and transmission systems. Renewable energy resources like wind and solar energy are often spatially distributed and inherently variable, necessitating the use of computing techniques to predict levels of supply and demand, coordinate electricity distribution and manage the operations of energy storage facilities.

A key element of the solution to this problem is the concept of a “Smart Grid”. There is no standard definition but a smart grid is broadly perceived as an evolved form of the traditional electricity grid where advanced techniques such as Information and Communication Technology (ICT) are used extensively to detect, predict and intelligently respond to events that may affect the supply of electricity.

Data analytics is a science that encompasses data mining, machine learning and statistical methods, and which focuses on cleaning, transforming, modeling and extracting actionable information from large, complex data sets. A smart grid generates a large amount of data from its various components, examples of which include renewable energy generators and smart meters; the potential value of this data is huge but exploiting this value will be almost impossible without the use of proper analytics. With the application of systematic analytics on the smart grid’s data, its goals of better economy, efficiency, reliability, and security can be achieved. A further consequence of this process is the steady growth in the complexity and connectedness of critical energy infrastructure. This trend, coupled with the rapid growth in computing power and an increasingly diverse threat landscape, has led to pressing concerns about the vulnerability of these installations to cybersecurity attacks from a range of state and non-state actors. It seems certain that intelligent algorithms and data analytics will be an important part of the solution if these problems are to be effectively countered.

The focus of this workshop is to study and present the use of various data analytics techniques in the different areas of renewable energy integration. Authors are invited to submit their original and unpublished research contributions to this workshop in areas relevant to the application of data analytics for renewable energy integration including but not limited to the following:

Scope
• Data analytics for renewable energy sources
• Smart Grid applications of data analytics
• Data analytics for power generation, transmission, and distribution
• Smart grid cyber security
• Intrusion detection
• SCADA/DCS data analytics
• Fault detection, classification, location, and diagnosis
• Power quality detection
• Power system state estimation
• Load forecasting, wind power forecasting, and PV power forecasting
• Islanding detection
• Demand response
• Customer profiling and smart billing
• Parallel and distributed data analytics for renewable energy integration
• Big data and cloud-based analytics for renewable energy integration

Paper Submission
Two types of submissions are invited:
• Full papers (Length 8-20 pages, including title page and bibliography)
• Short position papers (Minimum 6 pages, including title page and bibliography)

Submitted papers will be peer-reviewed and selected on the basis of these reviews. At least one of the authors will be required to be present at the workshop (but there is no limit to the number of papers presented by any one author).

Papers accepted to DARE 2015 will be published as a Springer Lecture Notes in Artificial Intelligence (LNAI) post-proceedings.

For manuscript submission, please use the EasyChair site at:
https://easychair.org/conferences/?conf=dare20150

Manuscripts should adhere to the guidelines of Springer LNCS/LNAI format (http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0)

Key Dates
• Submission Deadline: 6th of July, 2015
• Notification to Authors: 13th of July, 2015
• Camera-ready Deadline: 27th of July, 2015
• Workshop day: 11th of September, 2015

More details regarding the workshop are available from the website:
http://dare2015.dnagroup.org

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