Dr Kasım Zor

EEE7199 - Energy Analytics (2024-2025 Fall)

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Course Details​

• Venue: Room 213, 2nd Floor, M1 Building

• Date&Time: 09:15-12:00 on Thursdays

• Objectives: This course aims to teach theoretical and practical aspects of energy analytics by covering major electric power system applications of predictive analytics.

• Contents: Introduction to Data Analytics: Descriptive, Predictive, and Prescriptive Analytics, Introduction to Energy Analytics, Describing and Visualising Energy Data, Forecasting and Optimisation, Introduction to Energy Forecasting, Case Studies, and Final Project.

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Evaluation

• Midterm: Abstract Preparation for an IEEE Conference Proceeding

• Final: Full Paper Preparation for an IEEE Conference Proceeding

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Announcements

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