Data Analytics in Energy System Optimization and MonitoringLaajuus (5 cr)
Code: 5S00HI62
Credits
5 op
Objectives
In this course, students develop a strong theoretical and practical understanding of applying data analytics to optimize the energy and power balance of energy systems and manage system condition.
Upon completing the course, students will be able to:
• Understand the basics and key methods of data analytics in energy systems
• Utilize data analytics to optimize energy production, consumption, and storage
• Justify the importance of machine learning methods and predictive analytics in power grid condition management
• Analyze measurement data from energy systems and interpret it to assess system operation and performance
Content
The course covers the basics of data analytics in energy systems, including the collection, preprocessing, and analysis of measurement data. The optimization of energy and power balance is addressed using appropriate algorithms and predictive models. In system condition management, the course examines fault prediction and disturbance analysis using machine learning and big data solutions. The course introduces practical analysis tools for analyzing and optimizing real energy system measurement data solutions.
Assessment criteria, satisfactory (1-2)
The student recognizes the key concepts of data analytics and can describe their basic principles, but the application and analysis remain superficial. The use of methods related to optimizing and managing the condition of energy systems is limited.
Assessment criteria, good (3-4)
The student masters the basic principles of data analytics and machine learning methods and can utilize them for optimizing and managing the condition of energy systems. They can analyze measurement data and make well-founded conclusions, but deeper examination and application may be somewhat incomplete.
Assessment criteria, excellent (5)
The student has a deep understanding of utilizing data analytics and machine learning in energy systems, and can independently analyze and optimize the operation of energy systems. They are capable of critical thinking and innovative problem-solving in improving system condition management and energy efficiency.