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Projects: Projects for Investigator
Reference Number NIA_SPEN_0065
Title Introduction of Process mining enabler into SP Energy Networks
Status Completed
Energy Categories Other Power and Storage Technologies(Electricity transmission and distribution) 20%;
Other Cross-Cutting Technologies or Research(Other Supporting Data) 80%;
Research Types Applied Research and Development 100%
Science and Technology Fields SOCIAL SCIENCES (Business and Management Studies) 50%;
PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 25%;
ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 25%;
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Project Contact
No email address given
SPEN - SP Distribution Plc
Award Type Network Innovation Allowance
Funding Source Ofgem
Start Date 01 October 2021
End Date 31 December 2022
Duration ENA months
Total Grant Value £243,850
Industrial Sectors Power
Region Scotland
Programme Network Innovation Allowance
Investigators Principal Investigator Project Contact , SPEN - SP Distribution Plc (99.999%)
  Other Investigator Project Contact , ScottishPower Manweb plc (0.001%)
  Industrial Collaborator Project Contact , SP Energy Networks (0.000%)
Web Site https://smarter.energynetworks.org/projects/NIA_SPEN_0065
Objectives As part of SP Energy Networks looking to identify new innovative solutions across the overall business model, for Management Information a Process Mining product has been identified called Execution Management System (EMS) which is supplied by a company called Celonis.Process mining is a family of techniques relating the fields of data science and process management to support the analysis of operational processes based on event logs. The goal of process mining is to turn event data into insights and actions.  A 12-month trial of the Celonis Execution Management System product which performs process mining to turn event data into insights and actions is proposed. This will be linked into our portfolio of Systems, Applications and Products (SAP) modules and the ATHOS application with a primary focus on Identifying poor execution, waste and data issues across the Minor Connections process. This project will provide the enabler to prioritise the system, process and people changes that are required to support the forecasted increase on Connections activity whilst trialling the effectiveness of an innovative Process mining product
Abstract Like other licenced network operators (LNOs), SP Energy Networks (SPEN) are entering into new price control periods for Transmission (T2) and Distribution (ED2) and are looking forward to the challenges of meeting the increase of Flexible electricity demand (DSO), reducing of Carbon emissions, supporting the Environment and accommodating changes to our Customer behaviours i.e. Customer generation, Electrical storage, increased demand in electricity supply.To support and maintain the delivery of this future model there will be an increased requirement for Management Information (MI) i.e. Data, Performance, Efficiency, Trends, Behaviours) and also the need to become more efficient in what we deliver to accommodate the forecasted increase in resources.
Publications (none)
Final Report (none)
Added to Database 02/11/22