*** ABSTRACT SUBMISSION SITE OPEN; EXTENDED DEADLINE FOR SUBMISSION 30/11/2013 ***
Statistical and Probabilistic Methodologies for Energy Systems
University of Warwick
April 14th–16th 2014
Call for Papers
Website: go.warwick.ac.uk/CRISM and follow links to workshops
Ongoing 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 gen¬eration 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 bal¬ancing 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 generation capacity.
• Reliability analysis for future generation technologies.
• Stochastic modelling and analysis of relevant control algorithms for supply and demand side technologies.
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.
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.
• Submission Deadline: 30th November 2013
• Decision: 15th January 2014
• Workshop Dates: 14th−16th April 2014
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.
Or go to go.warwick.ac.uk/CRISM and follow links to workshops.
• Nikolaos Argyris (Warwick University)
• James Cruise (Heriot Watt University)
• Sergey Foss (Heriot Watt University)
• Simon French (Warwick University)
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