Projects: Projects for Investigator UKERC Home UKERC Energy Data Centre Projects Choose Investigator All Projects involving NIA_SPEN_0066
Reference Number	NIA_SPEN_0066
Title	Predict4Resilience - Discovery Continuity
Status	Completed
Energy Categories	Other Cross-Cutting Technologies or Research(Environmental, social and economic impacts) 70%; Other Power and Storage Technologies(Electricity transmission and distribution) 30%;
Research Types	Applied Research and Development 100%
Science and Technology Fields	PHYSICAL SCIENCES AND MATHEMATICS (Applied Mathematics) 10%; PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 10%; ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 30%; ENVIRONMENTAL SCIENCES (Earth Systems and Environmental Sciences) 50%;
UKERC Cross Cutting Characterisation	Systems Analysis related to energy R&D (Energy modelling) 100%
Principal Investigator	Project Contact No email address given SPEN - SP Transmission Plc
Award Type	Network Innovation Allowance
Funding Source	Ofgem
Start Date	01 February 2022
End Date	31 December 2022
Duration	ENA months
Total Grant Value	£150,000
Industrial Sectors	Energy
Region	Scotland
Programme	Network Innovation Allowance
Investigators	Principal Investigator	Project Contact , SPEN - SP Transmission Plc (100.000%)
	Industrial Collaborator	Project Contact , SP Energy Networks (0.000%) Project Contact , National Grid Electricity Transmission (0.000%)
Web Site	https://smarter.energynetworks.org/projects/NIA_SPEN_0066
Objectives	A desktop feasibility study and analysis to identify the needs of a weather prediction tool and outline the architecture for the tool in line with best practice. Supporting SIF discovery commencement through additional data gathering, formatting, reviewing and validation (primarily network fault analysis records and grid reference points)Considering the addition of topographical and ground permeation data setsSupport and accelerate the transition to SIF alpha Maximise the success of discovery by feeding in additional data gathering, formatting, reviewing and validation to inform the SIF outcomes
Abstract	Predict4Resilience - Discovery Continuity will inform the development of a “Weather Fault” tool which can:Forecast severe and extreme weather events;Improve the accuracy within the current forecasting window;Double the current forecasting window (up to 14 days ahead) and; Predict specific network faults and risks.This project is in place to safeguard the delivery and continuity of the associated SIF project.
Publications	(none)
Final Report	(none)
Added to Database	14/10/22