Description
The PhD research will focus on three complementary challenges in low voltage grid decision support, each of them representing a fundamental hurdle to the realistic-scale roll-out of smart-grid decision systems in the field, and each requiring a considerable progression of the current state-of-the-art in data science technology applied to distribution grids.
The first focus is on optimizing the extraction and stochastic simulation of relevant information from the limited number of available grid data sources. Standard techniques for data-wrangling and data cleaning should be automatically combined in an optimal way and enhanced and/or customized to overcome the domain-specific flaws and deficiencies in the available data. Based on the resulting enhanced data, tools can be developed that stochastically generate relevant synthetic energy profiles.

The second focus is on forecasting the appearance of grid congestions such as under-voltage, over-voltage, and over-current. The main challenge here is in the exceptional nature and therefore the sparsity of occurrences of such congestions. Regression techniques that can make accurate extrapolations from the sparsely available grid data should be investigated, combined, enhanced and if necessary developed from scratch to effectively tackle this challenge.
 

The third focus is on overcoming the difficulties related to the correct interpretation of the collected, enhanced, processed, generated and forecasted data. Domain-specic and versatile representation and analysis techniques will be developed. For this purpose, AI-based clustering and visualization methods will be combined, enhanced and complemented with domain-specific insights and practical experiences in the field.

 

Collaboration with KU Leuven

Registration deadline: 15/07/2021

 

For more information, contact: georg.jung@vito.be or chris.hermans@vito.be

 

Qualification
  • You hold a Master's degree in Electrical Engineering with experience in data science or in Computer Science with thorough expertise in data science techniques and affinity with smart grids.
  • You are fluent in English, both oral and written.

 

 

Offer
  • A competitive salary
  • A range of benefits including adjustable holiday package
  • Flexible working hours and workplace
  • Innovation is our core asset, therefore it goes without saying that we give our employees the opportunity to undertake additional training and keep up to date in their field of expertise
  • The chance to be part of an organization with an international reputation, known for its advanced technological research and scientific consultancy
  • The possibility to actively contribute towards sustainable developments at local, national and global level 

Requisition

Location: 
Genk
Jobfield: 
PhD
ID: 
29860