Upcoming Talk in CogSys: Casper Sønderby from twig.energy

Who: Casper Sønderby, Co-founder and CEO of twig.energy
When: November 20, 14:00
Where: Building 321, Room 232

Casper Sønderby, a compelling speaker and pioneer in renewable energy and machine learning applications, will present insights into his innovative work at twig.energy. Read more about him and his contributions below.

Abstract

The energy system is transforming rapidly to meet low-carbon goals. twig.energy is at the forefront of this change, trading energy in the EU and US, optimizing renewable assets, and developing infrastructure projects. As one of the top three power movers in the EU, we co-own Denmark's largest operational battery (worth ~100 million DKK, with plans to increase tenfold in three years) and operate renewable assets across Scandinavia.

Our competitive edge lies in advanced machine learning systems tailored for the energy sector. These systems analyze financial time series with low latency, make millions of trading decisions daily, and predict weather systems days ahead. We integrate this technology with power markets, EU and US grid operators, and on-site control computers that manage grid-scale renewable infrastructure at millisecond intervals. This talk will explore our ML stack and its use of neural networks, high-performance computing, and automated decision-making to push the power grid towards a carbon-neutral future.

About the speaker

Casper Sønderby is the Co-founder and CEO of twig.energy, a company specializing in energy market trading, renewable asset optimization, and infrastructure investment across the EU and US. At twig.energy, Casper leads initiatives to transform AI into tools that accelerate the power grid's transition to a carbon-neutral future.

Before founding twig.energy, Casper was a research scientist at Google Brain, where he launched and led Google Research's data-driven weather forecasting efforts. He earned his PhD from the University of Copenhagen, working under Professor Ole Winther and collaborating with DeepMind Technologies and Twitter Cortex VX in London.