RISE DL Research Group

RISE DL Research Group

Foundational and applied machine learning for the Earth

Position paper about nature-based solutions presented at ECTP 2024

less than 1 minute read

Published:

The NBS initiative position paper Embracing Nature-Based Solutions for Sustainable Development was presented at the ECTP conference 2024.

You May Also Enjoy

Funding of project on ML-based wind farm planning obtained from the Swedish Energy Agency

1 minute read

Published:

We are happy to announce that we have received funding from the Swedish Energy Agency for the project AI-based Power Production Models for Increased Wind Farm Efficiency. Project summary: Wind energy is a promising source of power but is not easy to utilize effectively. Wind farms consist of many turbines that have complex interactions with each other and their surroundings. Factors such as terrain, wind trail effect (wake) between turbines, and ice accumulation on the blades influence the amount of power generated. Predicting the power output of wind farms typically relies on time-consuming simulations, but an emerging paradigm based on AI can drastically speed up prediction methods while maintaining their reliability. In this project we will develop new methods that use AI trained on real-world data to get accurate prediction of wind farm power output at a low computational cost. As the turbines and their relationships can be seen as a graph, we will use Graph Neural Networks (GNNs) to model them. Our method can have a big impact as the number of wind farms keeps growing, improving their efficiency and planning, and enabling more sustainable and affordable energy.

Visipedia workshop @ Pioneer Centre for AI

less than 1 minute read

Published:

The DL group will be represented at the Visipedia workshop hosted at the Pioneer Centre for AI in Copenhagen (to be held on April 12, 2024). The Visipedia project is jointly led by Serge Belongie’s group (University of Copenhagen) and Pietro Perona’s group (Caltech). Visipedia’s goal, broadly speaking, is to make computer vision systems that can be queried and used by large communities of experts to help foster the curation and generation of new knowledge.