ENWL020 - Artificial Intelligence and Machine Learning
In recent years the installation of intelligent devices on the electricity network as part of innovation projects or business as usual has resulted in the generation of large volumes of data.
This large dataset holds information relating to network operation and performance, asset health, development of faults and abnormalities on the network. Analysis of this data is currently a time-consuming manual process so only clearly defined, small pieces of analysis are carried out. The data may hold hidden trends which could not be manually investigated and may offer valuable insight into network operations which could influence investment decisions as well as response to events.
Finding an alternative way to interrogate this data could be crucial to the future management of distribution networks. This project will investigate whether modern techniques such as machine learning and artificial intelligence could assist with this interrogation.
Timescales: October 2018 - October 2021.