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Personal profile

Research areas

His research mainly focuses on the data analysis in industrial processing operations to reduce the energy consumptions in industry sectors with state-of-the-art machine learning/deep learning algorithms. The energy performance best practices are analyzed by the proposed clustering algorithms, prediction frameworks and evaluation architectures.

Research interests

Energy informatics, Industrial digitalization, Data science, Explainable AI

Research areas

  • XProduktionssystemer i industri
  • Industrial Digitalization
  • Energy Performance Best Practice
  • Industry 4.0
  • Machine Learning
  • Data Science
  • Explainable AI
  • Feature Enigineering


Fingerprints are formed from scientific publications and create an index of weighted keyword concepts for each individual researcher.
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