Thesis
Characterising temporal aspects of residential electricity consumption using statistical learning
- Abstract:
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Achieving ambitious climate change mitigation targets requires a comprehensive transformation of the energy system. As part of this transformation, early, rapid, and full decarbonisation of the electricity sector is essential. Residential buildings contribute substantially to electricity consumption, so pathways for electricity system decarbonisation similarly depend on accelerated change in the residential sector.
Delivering further and faster reductions in emissions from resid...
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- Files:
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(Preview, Dissemination version, pdf, 14.1MB, Terms of use)
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Authors
Contributors
+ Grünewald, P
- Oxford college:
- St John's College
- Role:
- Supervisor
+ Eyre, N
- Division:
- SSD
- Oxford college:
- St John's College
- Role:
- Supervisor
- ORCID:
- 0000-0002-6823-9646
+ Engineering and Physical Sciences Research Council
More from this funder
- Grant:
- EP/M024652/1
- Programme:
- Grant support for research and publication fees
+ Rhodes Trust
More from this funder
- Funder identifier:
- http://dx.doi.org/10.13039/501100000266
- Programme:
- Rhodes Scholarship to complete graduate studies at University of Oxford
- DOI:
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
- Language:
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English
- Keywords:
- Subjects:
- Pubs id:
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2043965
- Local pid:
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pubs:2043965
- Deposit date:
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2020-06-29
- ARK identifier:
Terms of use
- Copyright holder:
- Satre Meloy, AP
- Copyright date:
- 2019
- Licence:
- CC Attribution (CC BY)
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