Live Webinar

How Western Power is leading the national conversation for demand forecasting

Wednesday, June 5 • 12 p.m. - 12.45 p.m. AEST | 10 a.m. - 10.45 a.m. SGT

About the webinar

For energy forecasters, dealing with extreme weather events causes uncertainty, often resulting in inaccurate forecasts. To tackle this, companies such as Western Power in Australia are using Extreme Value Theory (EVT) to improve modeling accuracy in the case of extreme events.

Find out how Western Power improved their energy forecast accuracy by developing EVT modelling for both minimum and maximum demand; helping them predict areas of the network likely to exceed capacity constraints and voltage limits. 

What you'll learn?

  • Learn the basics of EVT and how it can help your organisation improve forecast model accuracy.
  • How Western Power is leading a national conversation on uncertainty in demand forecasting.
  • How Western Power adapted EVT to handle both coincident and non-coincident forecasting.

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About the Experts


Peter Condon, Forecasting & Modelling Team Lead at Western Power

Peter has worked in data science and data engineering roles across a range of industries, including Energy, Finance, Retail, and Telecommunications. Currently working at Western Power, Peter has experience in the implementation of fully automated machine learning solutions to create business value and deliver insights that challenge conventional wisdom.

Jonathan Butow, Artificial Intelligence of Things Advisory Lead at SAS

Jonathan works as a customer advisor with SAS focusing on Artificial Intelligence and the Internet of Things (AIoT). He has a passion for emerging technology and is an enabler of digital transformation. Jonathan has collaborated with Peter Condon and Western Power in the energy sector, as well as working with customers in government, telecommunications and mining.

Register now