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Thesis

Probabilistic wind power forecasts: from aggregated approach to spatiotemporal models

Abstract:

Wind power is one of the most promising renewable energy resources to replace conventional generation which carries high carbon footprints. Due to the abundance of wind and its relatively cheap installation costs, it is likely that wind power will become the most important energy resource in the near future. The successful development of wind power relies heavily on the ability to integrate wind power effciently into electricity grids. To optimize the value of wind power through careful po...

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Role:
Supervisor
Role:
Supervisor
Institution:
University of Oxford
Department:
Mathematical,Physical & Life Sciences Division - Statistics
Publication date:
2011
Type of award:
DPhil
Level of award:
Doctoral
URN:
uuid:f5a66568-baac-4f11-ab1e-dc79061cfb0f
Local pid:
ora:12153
Language:
English
Keywords:
Subjects:

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