Marcus Voss

Marcus Voss

Intelligence Architect and AI Expert

Birds on Mars

TU Berlin

Climate Change AI


I am passionate about exploring the applications of machine learning and artificial intelligence for a sustainable live within our planetary boundaries.

I am an AI expert at Birds on Mars, where I am responsible for AI applications for environmental sustainability. I am member of the Board of Directors at Climate Change AI, an international nonprofit catalyzing impactful work at the intersection of climate change and machine learning.

I have been an external lecturer on AI and data science among others at TU Berlin, Leuphana University Lüneburg, the Climate Change AI summer school and CODE University. Previously, I was a research associate at the TU Berlin, where I led the Smart Energy Systems research group of the DAI Lab, working on AI applications in the smart grid and sustainable development of AI systems. I like to give talks about AI and sustainability in different contexts, e.g. at Bits and Bäume, a key note at the DESSAI Inria-DFKI European Summer School on AI 2022 or the Bitkom Big-Data.AI summit 2022.

If you are working on machine learning and smart meter data, check out our recent open access book on load forecasting, this Python tutorial, and our list of load datasets.

  • AI and machine learning within our planetary boundaries
  • Applications of AI and ML in energy systems
  • PhD in Computer Science, 2023 (planned)

    TU Berlin

  • M.Sc. in Information Systems, 2014

    Humboldt University of Berlin

  • B.Sc. in Information Systems, 2011

    HWR Berlin

Recent & Upcoming Talks

Recent Publications

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(2021). Nachhaltigkeitskriterien für künstliche Intelligenz - Entwicklung eines Kriterien- und Indikatorensets für die Nachhaltigkeitsbewertung von KI-Systemen entlang des Lebenszyklus. IÖW-Schriftenreihe 220/21.

PDF Cite

(2021). Probabilistic Short-Term Low-Voltage Load Forecasting using Bernstein-Polynomial Normalizing Flows. Workshop Tackling Climate Change with Machine Learning at ICML.


(2021). DIN SPEC 91410-2:2021-05: Energieflexibilität – Teil 2: Identifizierung und Bewertung von Flexibilität in Gebäuden und Quartieren. Beuth Verlag.


(2020). Integration of Building Inertia Thermal Energy Storage into Smart Grid Control. In SEST 2020.


(2020). Sector-Coupled District Energy Management with Heating and Bi-Directional EV-Charging. In IEEE PowerTech 2021.