Data Intelligence Approaches for Energy Peak Management

    Project Details

    Description

    In the gradually digitized energy systems, the cutting-edge technologies including smart meters, information and communication technologies (ICT), and Internet-of-things (IoT) have increasingly used to make energy systems more intelligent. An enormous amount of data have been generated, which provides the power to analyze in depth to reveal the impact of energy consumption, emission, and operations. The proposed Ph.D. research will be part of the HEAT 4.0 project of building the next-generation digitized system for district heating. The Ph.D. research will use data intelligence approaches including data mining, machine learning, and artificial intelligence to optimize energy systems in district heating, which is different to the traditional approaches of imposing various types of uncertainties in energy optimizations.

    The objective of this project is to explore advanced data intelligence techniques, evolutionary computation, and high-performance computing for better addressing the challenges of the existing energy systems in district heating on operations, optimizations, and management.
    StatusActive
    Effective start/end date15/04/201914/04/2022