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Master Thesis – Development of demand forecasting model and optimisation methods for industrial baking process


AEE - Institute for Sustainable Technologies (AEE INTEC) is a private research institute founded in 1988. AEE INTEC employs around 80 staff members from eleven different nations working as full-time employees, doctoral candidates, master's theses and internship students. AEE INTEC works in the fields of "Buildings", "Cities and Networks", "Technology Development" and "Industrial Systems" on basic and applied research. AEE INTEC cooperates with industries, universities, and other research institutes in national and international R&D projects.

Research Project

DSM_OPT is an ongoing research project with the aim of developing a decision support system for demand side management (DSM) addressing optimal design and operation of industrial processes and supply. DSM_OPT is part of the NEFI (New Energy for Industry) model region that focuses on energy intensive and manufacturing industries and their decarbonisation with the aim of a long-term innovation process to boost technological development. The project will be implemented in two case studies at the Marienhütte steelworks and the Sorger bakery, where the different modules of the toolbox will be tested, validated and showcased. DSM_OPT can support industries to better integrate variable renewable energy and reduce the strains on the energy infrastructure (e. g. the electricity grid) by the optimized scheduling of energy production units and consumers in industrial plants.

Master Thesis

  • Identification and elaboration of prediction-based optimisation
  • Literature review on machine learning based forecasting methods
  • Data acquisition of sensor/process data in the industrial use case of bakery Sorger
  • Preparation and allocation of the acquired data to corresponding sub-processes
  • Creation of resource and energy demand profiles for process modelling
  • Development of models for demand forecasting (production and energy) for the industrial baking process for different time resolutions and horizons

What we need

  • Solution oriented, creative, independent and reliable way of working
  • Educational background in industrial processes and renewable technologies
  • Interest in thermodynamic based simulation and identification of the relationships between energy demand and sustainable supply
  • Understanding of basic programming will be an advantage

What we offer

  • Paid master thesis under the framework of an ongoing research project
  • Supervision by experienced staff and competent professional support.
  • Time frame: Start date Autumn 2021; duration approx. 6 months


Jürgen Fluch, Tel 03112 5886-454, j.fluch@aee.at