Genesis Energy is a generation and retail company from New Zealand and for the last few years it has focused on becoming more proactive with data to enable data driven decisions. Genesis Energy is fortunate to have data scientists on the retail side of the business and they were engaged to start investigating machine learning potential with historical generation data contained in PI Historian. The investigations proved successful meaning the next step was to determine how the data could be extracted automatically into a data science environment. The PI Integrator fit this need and has enabled productionising of a machine learning app allowing the development of advanced predictive analytics. The machine learning app uses open source software and is combined with Microsoft Power BI to visualise the results. This presentation will talk about the journey into predictive analytics, what the Integrator allows us to achieve and other reporting benefits that have been enabled.
Michael is from New Zealand and originally a mechanical engineer. More recently this has morphed into the asset management space utilising the wealth of data that is accessible to generation companies. Michael has worked in New Zealand and Australia in the generation space and has been exposed to the PI system for the past eight years. Currently Michael works for Genesis Energy in New Zealand as a Senior Asset Management and Modelling Engineer.