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Artificial Forecasting

Reference Number
ENA_10145998
Title
Artificial Forecasting
Status
Started
Energy Categories
Other Cross-Cutting Technologies or Research(Energy system analysis)
Other Power and Storage Technologies(Electricity transmission and distribution)
Research Types
Applied Research and Development
Science and Technology Fields
PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics)
ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering)
UKERC Cross Cutting Characterisation
Not Cross-cutting
Principal Investigator
Project Contact
Northern Powergrid
Award Type
Network Innovation Allowance
Funding Source
Ofgem
Start Date
01 February 2025
End Date
01 February 2027
Duration
24 months
Total Grant Value
£3,664,540
Industrial Sectors
Power
Region
Yorkshire & Humberside
Programme
Investigators
Principal Investigator
Project Contact, Northern Powergrid
Other Investigator
Project Contact, Northern Powergrid (Yorkshire) plc
Web Site
Objectives
Abstract
As DNOs develop their distribution system operator functions, the current annualprocess used to forecast load at extra-high-voltage/high-voltage needs to becomeincreasingly granular, at the monthly, weekly, daily and hourly level, to supportflexibility dispatch and defer or avoid reinforcement. Moreover, the increasingprevalence of low-voltage monitoring data enables new use cases to supportnetwork planning and the extension of flexibility markets at ED3. The ArtificialForecasting project addresses these unmet needs by building innovative AIsolutions to expand load forecasting capability at primary (EHV-HV) andsecondary (HV-LV) substations, optimising flexibility procurement and enablingDSO functions across the sector.
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Added to Database
02/04/25