Kalle is CEO and Co-Founder at Utiligize.
Kalle previously worked as Danish Energy’s benchmarking expert, simulating thousands of potential models and making recommendations to industry and the state regulator. Kalle is an expert on power system asset pricing and lifetime assessment, having built up an invaluable database of regulatory data going back 50 years – and which is still the foundation for utility revenue today.
Kalle guest lectures in economic benchmarking at Copenhagen University, from where he holds an MSc in Environmental and Natural Resource Economics.
Emil is CTO and Co-Founder at Utiligize.
Emil previously worked as Danish Energy’s Statistician, developing new methods to predict and influence electricity consumer behavior at cloud-scale by applying machine learning to the flood of data coming from new metering infrastructure and smart home devices. Before coming to Denmark i 2009, Emil spent three years working as a journalist for Europe’s oldest computer magazine, Personal Computer World, where he developed strong relationships with the IT world.
Emil has a PhD in Electrical Engineering from the Technical University of Denmark.
Jules is a data scientist at Utiligize.
Jules has an MSc in Sustainable Energy, with a thesis on Machine Learning, from the Technical University of Denmark.
At Utiligize, Jules is building up a large-scale electricity load and network flow forecasting system, capable of ingesting billions of observations and aggregating them in accordance with the physical location. Google’s cloud toolbox of BigQuery, Google ML and Tensorflow are then used to estimate historical and future network flows over different forecast horizons, meeting utility needs to perform state estimation on an increasingly complex system.