Developing methods to model local area temporal domestic electricity demand
Sector: Power Generation (CCGT) • Location: United Kingdom
Source: EU Funding & Tenders Portal
The objective of this proposal is to implement a programme of research and impact activities intended to provide a step change in the level of understanding of, and modelling capacity for, spatially disaggregated temporal domestic electricity demand in a smart grid and demand response context. This programme will be developed in partnership with internationally recognised experts led by the Univer
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Participants
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Status
Original status | ended |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
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Description
Description | The objective of this proposal is to implement a programme of research and impact activities intended to provide a step change in the level of understanding of, and modelling capacity for, spatially disaggregated temporal domestic electricity demand in a smart grid and demand response context. This programme will be developed in partnership with internationally recognised experts led by the University of Otago (host) who are pioneering in this field. It will be exploited via an applied research programme at the University of Southampton (beneficiary) which intends to integrate census, social science time use and detailed consumption data to develop local area level demand response models to support the analysis of a range of demand response scenarios. In so doing the fellowship will provide the applicant with a foundation from which to build a new career pathway by applying his substantial existing social scientific data analysis and spatial microsimulation expertise to the development and leadership of a substantial new European research capacity in an area of emerging commercial, societal and political significance. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
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Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
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