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10-11 September 2025

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2024

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6 Must-haves bij data governance

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10-11 September 2025 | Jaarbeurs Utrecht Become an exhibitor? For visitors

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2024

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2024

Giving a lecture

Program Blog & Knowledge

Blog & Knowledge

Ontdek

Blog

Uitgelicht

6 Must-haves bij data governance

Interview: ‘Grote AI-dromen verwezenlijk je in kleine stapjes’

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Big Data Expo Vorm F (1) Big Data Expo Vorm E (1)

Powering the Netherlands tomorrow: How we make our grid future-proof by predicting when you'll drive a Tesla

Wednesday 12:30 - 13:00
Lezingenzaal 7
Thijs Nieuwdorp

Lead Data Scientist (Xomnia)

Meer over deze spreker
The energy transition is rapidly accelerating. In order to keep up with our power grid, Alliander needs to switch to a proactive way of working. This means we will start making predictions for technologies like heat pumps, solar panels, and electric vehicles that have a high impact on our power grid, in order to be prepared when their adoption is coming. In this talk we will present how Alliander uses its data and cloud computation to get our grid ready for the future. We'll talk about how to predict the adoption of different technologies, how to simulate their impact on the low-voltage part of our grid, and how we use these simulations to make informed decisions about how to strategize and prioritise the upgrades on our grid. We did all of this using a stack built on Github Actions, S3, and AWS Batch using the Polars library for data transformations.
Bram Timmers

Data Science Software Engineer (Alliander)

Meer over deze spreker
The energy transition is rapidly accelerating. In order to keep up with our power grid, Alliander needs to switch to a proactive way of working. This means we will start making predictions for technologies like heat pumps, solar panels, and electric vehicles that have a high impact on our power grid, in order to be prepared when their adoption is coming. In this talk we will present how Alliander uses its data and cloud computation to get our grid ready for the future. We'll talk about how to predict the adoption of different technologies, how to simulate their impact on the low-voltage part of our grid, and how we use these simulations to make informed decisions about how to strategize and prioritise the upgrades on our grid. We did all of this using a stack built on Github Actions, S3, and AWS Batch using the Polars library for data transformations.
The energy transition is rapidly accelerating. In order to keep up with our power grid, Alliander needs to switch to a proactive way of working. This means we will start making predictions for technologies like heat pumps, solar panels, and electric vehicles that have a high impact on our power grid, in order to be prepared when their adoption is coming. In this talk we will present how Alliander uses its data and cloud computation to get our grid ready for the future. We'll talk about how to predict the adoption of different technologies, how to simulate their impact on the low-voltage part of our grid, and how we use these simulations to make informed decisions about how to strategize and prioritise the upgrades on our grid. We did all of this using a stack built on Github Actions, S3, and AWS Batch using the Polars library for data transformations.

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