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1 Create Way
Singapore, 138602

Research project within TUM CREATE. Focussing on modelling and optimisation of architecture and infrastructure, urban systems simulation like traffic and power are the main research interests. Apart from that, a cognitive systems group deal with human computer interaction. 

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Machine Learning for Handling Price Uncertainties in Electricity Markets

Intelligent Control of Energy Storage in Smart Grids


Smart grids rely on the intelligent behavior of individual consumers and generators. In this project we are developing a system which intelligently controls how mobile or stationary energy storages are charged and discharged to support the stability of power grids. One objective of the project is to realize a technology for the integration into electric vehicles (EV) to perform smarter charging and intelligent Vehicle-to-Grid (V2G) dispatch.


You will be part of a small research team addressing different aspects of this topic. One component of the system is to use real-time electricity prices and short-term price predictions in order to schedule the charge/dispatch process in the most profitable way. The objective of this thesis/internship is to develop an algorithm which optimally deals with uncertainties related to these price predictions. This will be achieved by employing machine learning techniques which enable the system to continuously analyze the degree of uncertainty and to best account for this uncertainty when performing the schedule optimization. For this purpose the following tasks should be accomplished:

  • Employ machine learning to automatically determine price forecast uncertainty from historical data
  • Minimize sensitivity of the existing optimization algorithm to price uncertainties
  • Apply developed technique to a real-world case study using the example of EVs in the Singapore electricity market


  • Good programming skills in any object-oriented language
  • Knowledge in linear and/or non-linear optimization
  • Team spirit and innovative thinking
  • Fluency in English


  • Financial support
  • Opportunity to work on a project with real-life relevance and commercialization perspective
  • An international and multidisciplinary working environment
  • A great experience in one of the most dynamic megacities in Asia

Availability: Approx. August 2015
ContactDominik Pelzer (dominik.pelzer [at]
PDF DownloadMachine Learning for Handling Price Uncertainties in Electricity Markets