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Statistical and Probabilistic Methodologies for Energy Systems

Statistical and Probabilistic Methodologies for Energy Systems

www.warwick.ac.uk/CRISM
A CRiSM Workshop
University of Warwick
April 14th–16th 2014
Call for Papers

Scope
On-going problems in both planning future capacity and the running of future power grids are producing many interesting statistical problems. The workshop will focus on developments in suitable stochastic (statistical and probabilistic) methodologies to address these problems.
A key feature of electrical energy systems is that supply and demand must be balanced on a minute-by-minute, or in some cases even a second-by-second, basis. They must further be balanced spatially to the extent that the capacity of the transmission network is not exceeded.
Changes to the generation mix driven by carbon dioxide reduction targets and the replacement of ageing generation capacity is making this increasingly difficulty. Wind power and other sources of renewable energy are highly variable and unpredictable, and a future dependency on these will create major challenges in the balancing of supply and demand. We require the capacity of these uncertain resources to be effectively utilised without compromising either adequacy of supply or the means to transmit it. In addition changes to electricity demand and metering technologies are exacerbating these problems, examples include the increased use of electric cars, smart meters and home generation.

Topics to be covered include:
•       Real-time prediction of renewable-based energy and demand, focusing in particular on its spatiotemporal distribution.
•       Development of computationally efficient real-time management methodologies of such large-scale systems.
•       Stochastic methodologies to support decision making for planning of network reinforcement and gener¬ation capacity.
•       Reliability analysis for future generation technologies.
•       Stochastic modelling and analysis of relevant control algorithms for supply and demand side technolo¬gies.

Format
The workshop will offer a mix of invited papers, submitted papers and posters with ample time for discussion and reflection.  There will be a session run jointly with the Warwick Global Research Priority on Energy (http://www.warwick.ac.uk/
research/priorities/energy).  On the Monday evening there will be a reception and a workshop dinner will be held on the Tuesday evening.

Submission Process
We welcome submission of abstracts of up to 500 words.  The abstract should contain all relevant elements of your talk, including conclusions.  Please use mathematical notation sparingly.  Abstracts will be accepted in either Latex or Word.  Further submission details will be posted on the Workshop website by late September.

Important Dates:
•       Submission Deadline: 31st October 2013
•       Decision: 15th January 2014
•       Workshop Dates: 14th−16th April 2014

Further Details:
The workshop will be held at the Zeeman Building, Warwick University and is arranged as part of the Centre for Research in Statistical Methodology (CRiSM). Accommodation will be available on campus.
The Workshop Website go live in August 2013, accept abstract submission by late September, and registration from late Autumn.  Go towww.warwick.ac.uk/CRISM and follow links to workshops.

For further information, please contact simon.french@warwick.ac.uk

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Date and time

Start Date :
14/04/14
End Date:
16/04/14
Duration :
All Day
Type :
Conference

Organiser details

Organiser :
simon.french@warwick.ac.uk

Address details

Venue :
CRiSM Department of Statistics, University of Warwick, Coventry, UK
Website: :
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