Projects: Projects for Investigator |
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| Reference Number | NPG_SIF_006 | |
| Title | Artificial Forecasting | |
| Status | Completed | |
| Energy Categories | Other Power and Storage Technologies(Electricity transmission and distribution) 100%; | |
| Research Types | Applied Research and Development 100% | |
| Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 20%; ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 80%; |
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| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Project Contact Northern Powergrid |
|
| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 October 2023 | |
| End Date | 01 April 2024 | |
| Duration | 6 months | |
| Total Grant Value | £522,000 | |
| Industrial Sectors | Power | |
| Region | Yorkshire & Humberside | |
| Programme | ||
| Investigators | Principal Investigator | Project Contact , Northern Powergrid |
| Other Investigator | Project Contact , Northern Powergrid (Northeast) Limited |
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| Web Site | https://smarter.energynetworks.org/projects/NPG_SIF_006 |
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| Objectives | ||
| Abstract | As DNOs develop their distribution system operator functions, the current annual process used to forecast load at extra-high-voltage/high-voltage needs to become increasingly granular, at the monthly, weekly, daily and hourly level, to support flexibility dispatch and defer or avoid reinforcement. Moreover, the increasing prevalence of Low-voltage monitoring data enables new use cases to support network planning and the extension of flexibility markets at ED3. The Artificial Forecasting project will address these unmet needs by building innovative AI solutions to expand load forecasting capability at primary (EHV-HV) and secondary (HV-LV) substations, enabling the development of DSO functions across the sector. | |
| Data | No related datasets |
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| Projects | No related projects |
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| Publications | No related publications |
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| Added to Database | 08/01/25 | |