Course summary
Welcome to this course. On this course you will learn about Module Data Management and Smart Grid Analytics is being developed by PAUWES/GESCI to explore the digitalization tools for the efficient operation of smart grid systems. The course will also review the basics of learning algorithms, important applications of big data analytics and machine learning in electric power distribution systems, transmission networks, and electricity markets. As a result, the eCourse will focus on Machine Learning and Artificial Intelligence in Smart Grid, Big Data Management and Smart mini grid Analytics, Renewable energy sources integration, demand-side management, distribution automation, and Data analytics.
To achieve this, online platforms and digital education tools will be utilized in this module to offer a blend of interactive self-study opportunities, exercises, assessments, and online discussion.
Course Description
This course explores the digitalization tools for the efficient operation of smart grid systems. The course also review the basics of learning algorithms, important applications of big data analytics and machine learning in electric power distribution systems, transmission networks, and electricity markets. The eCourse focuses on Machine Learning and Artificial Intelligence in Smart Grid, Big Data Management and Smart mini grid Analytics, Renewable energy sources integration, demand-side management, distribution automation, and Data analytics.
Duration
- Total Duration for complete course E-204 : 108 hours
- Total Lecture hours : 22 hours
- Total hours of assisted learning (Tutorial, practical works) : 20 hours
- Total hours of self study time : 33 hours
- Total hours of experimentation, practical labs, case studies and assessments : 33 hours
Required Skills
- Acquisition of digitisation tools for efficient operation of smart grid system
- Develop basic competencies in learning algorithms , big data analytics applications and machine learning in electric power distribution systems, transmission grids and electricity markets
Course Learning Outcomes
Upon completion of this course, you will be able to:
- Acquire data analysis and management in Smart grids as well as grid
- Practice different applied techniques in data analytics for demand and supply forecasting
- Investigate different applied machine learning techniques in Smart grid data systems