AGH University of Science and Technology is one of the oldest polish universities (it has been founded in 1913 year). It is located in the centre of Kraków, the old capital of Poland, and it is composed of 16 faculties (http://www.agh.edu.pl/en/university/structure/faculties-and-basic-units/). Department of Applied Computer Science belongs to the faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering. The Department Staff consist of 8 professors, and 19 adjuncts with PhDs. The research conducted by scientists affiliated with the Department includes:

  • computer science applied to power and energy engineering – for example: to develop intelligent energy infrastructures (the so-called smart grid), to design and optimize intelligent lighting; the department has unique experience and knowledge in this field,
  • artificial intelligence (AI) – knowledge engineering (KE), decision support systems, computer linguistics,
  • software engineering – theoretical aspects such as software quality (for example implementation of formal methods in the process of software design) as well as practical aspects concerning software architectures (including SOA),
  • embedded and mobile systems – microcontrollers, single-chip computers as well as modern operating systems such as Android and iOS,
  • processing of large datasets – cloud computing, big data, data warehouses,
  • computer graphics – the department is equipped with a new 3D computer graphics lab,
  • project management – agile software development and classical methodologies, as well as research regarding their integration.

The Department of Applied Computer Science closely cooperates with governmental organisations and public administration (among others: the Marshal’s Office of the Malopolska Voivodship, the Energy Regulatory Office) as well as with the industry (among others: GE, ABB, Schreder, Philips and Fideltronik). One of the most significant efforts undertaken by the Department is the Green AGH Campus Project. It is a Smart City Project, conducted together with the Marshal’s Office of the Malopolska Voivodship and GE. The Department of Applied Computer Science coordinates the implementation of pilot Smart Grid solutions (including intelligent lighting systems). One of the aims of the project is to create an integrated laboratory for energy systems, in order to allow monitoring of the efficiency of diverse renewable energy sources in Malopolska.

Role in the PreFlexMS project:

  • The aim of this task is to develop machine learning algorithms which allow improving plant performance models. A plant performance model is in turn used by the dispatch optimization, for which the accuracy of the model is crucial. It is assumed that prior knowledge regarding the performance model is given. Particular representation for the model has to be developed to allow the assumed improvement through a feedback derived from operational data. Several machine learning techniques should be considered here. Starting with supervised or semi-supervised learning and verifying hybrid approaches with use of reinforcement or unsupervised learning are going to be carried out. The proposed algorithms must be integrated with the dispatch optimization and their performance must be verified.