Only in cooperation with Radboud Data Science group
Alliander aims to play a decisive role in the energy transition to a more sustainable future. The company seeks new technologies and responds to new developments in the energy sector with the goal to use the grid more efficiently and boost productivity. It allows us to connect as many renewables, electric vehicles, heat pumps and new customers to the grid as possible.
In order to have a clear insight into the current load for the grid, it is necessary to filter out anomalies such as switching events and measurement errors. Currently this filtering is largely done by hand, which drastically limits the use of actual measurement data. Therefore the Radboud University Data Science group and Alliander started a cooperation called STORM, Switch Tagging and Outlier Recognition for power grid Measurements, which could be started thanks to a Green IT Voucher. We have developed several algorithms and organized a hackathon. The assignment for this internship would be to improve on these algorithms or develop a separate algorithm for cases that are too difficult for the current algorithms. In the meanwhile Alliander will start to implement the first version of the filtering, on which you will have a close view.
Some ideas to improve the STORM algorithms are:
- Compare the measurement data of different, closely related substations in order to detect switching events where part of the load is transferred from one substation to another.
- Combine unsupervised and supervised models to create a better model.
- Use other changepoint detection algorithms or time series forecast methods to improve the filtering.
What do we offer you?
This is a challenging and highly varied internship in an organization that is at the center of the energy transition. Alliander is at the forefront of applying Data Science in a technical environment. Obviously, this includes a good internship allowance and we support you with all means to perform your work well. We have more than enough data available and ready to perform this assignment.
Alliander is a large Dutch distribution system operator (DSO) that ensures that millions of customers have access to electricity and gas every day for living, working, transport and recreation. We stand for an energy supply that gives everyone access to reliable, affordable and sustainable energy under the same conditions. Now and in the future. That is what we work on together every day. We offer our professionals an environment for innovative and smart ideas. An environment for your energy.
You will work at the IT Advanced Analytics department. Over 60 Data Scientists and Data Engineers work in this department to solve important issues for Alliander using the often large amounts of data. Challenges that we deal with are:
- Where is the greatest chance of a power failure?
- Which households will probably be placing solar panels on their roof in the coming years?
- Can we estimate the difficulty of a task for a contractor from a photo of the customer’s meter cabinet with image recognition?
Most of the work is performed in agile working scrum teams.
Alliander screens all applicants. Depending on the position, the screening consists of the following steps: checking references, checking the authenticity of identity papers and diplomas, an integrity check and requesting a certificate of conduct (VOG).
Contact: Roel Bouman (RU), Jacco Heres (Alliander), Yuliya Shapovalova (RU)