AI-DRIVEN DECISION SUPPORT SYSTEMS FOR ENERGY AND PRODUCTION OPERATIONS

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  • DURATION
    10 WEEKS
  • SUBJECT AREA
    Production and Logistics
  • COURSE LEVEL
    Second Cycle
  • CREDITS
    3.0 HP
  • INSTITUTIONS
    REEDEAM
    Mälardalen University
  • START DATE
    2026-01-19
  • END DATE
    2026-03-29

COURSE DESCRIPTION

This course explores the integration of artificial intelligence (AI) in decision support systems specifically tailored for the energy and production sectors. Students will learn how AI technologies, such as machine learning, optimization, and data analytics, are transforming traditional operational strategies, enhancing decision-making processes, and driving efficiency in energy and production operations.

The curriculum will cover foundational concepts of AI and decision support systems, along with practical applications such as predictive maintenance, demand forecasting, process optimization, and real-time decision support. Through hands-on projects, case studies, and industry-relevant examples, participants will gain insights into designing and implementing AI-driven solutions that improve operational performance, reduce costs, and support sustainability goals.

By the end of this course, students will be equipped with the skills to develop and apply AI-driven decision support systems to solve complex challenges in energy and production environments. This course is ideal for professionals and students interested in leveraging AI for operational excellence in the energy and production industries.

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