Strategic Projects and Innovation, Kelag Energie, Klagenfurt
Patricia Brandner is an enthusiastic energy economist and loves to work on the green transition of the European energy system. She is also interested in extracting information from data that makes a relevant contribution to forecasting different parameters in the energy system.
She is coming from an educational background in European energy economics and has professional experience in energy trading, project management and international business. For several years Patricia was working on the optimization of power plant scheduling in the Austrian market for the Carinthian energy utility Kelag. During this time she developed forecasts for the energy consumption of Austrian customers. Currently she is working on strategic projects and innovation in energy trading.
Technical Vision Talk: “Forecasting the energy consumption of Austrian customers: How we learned what challenges we need to solve before thinking about modeling”
Have you ever wondered what happens to your electricity meter data?
Take part in my talk and follow me into the world of energy systems. Find out what contribution forecasts make to the security of our power supply. Experience the pain of my team when we found out that we still had a lot to understand before we could even think about modeling. Learn more about our solution approaches and why we had to realize that sometimes a pragmatic path can lead to success.
I come from a traditional industry that has been around for more than 100 years, and sometimes combining that with data science takes you down a rough road. In my case, I only had a basic understanding of data science, but thanks to the internet community and tutorials, I was able to generate some satisfying forecasts by the end of our project. I realized that the big challenges were more about understanding how the data was generated, how the processes behind are working, and how to make our lives as easy as possible in the daily business. Since we were operating on a living patient and have a big responsibility for the energy supply, we have chosen a more robust way to achieve good results.