Introduction of Process mining enabler into SP Energy Networks

Completed

Other Power and Storage Technologies(Electricity transmission and distribution)
Other Cross-Cutting Technologies or Research(Other Supporting Data)

Applied Research and Development

SOCIAL SCIENCES (Business and Management Studies)
PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics)
ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering)

Not Cross-cutting

Project Contact
SPEN - SP Distribution Plc

Network Innovation Allowance

Ofgem

01 October 2021

31 December 2022

ENA months

£243,850

Power

Scotland

Network Innovation Allowance

Project Contact, SPEN - SP Distribution Plc

Project Contact, ScottishPower Manweb plc

Project Contact, SP Energy Networks

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

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.

02/11/22