EEE71XX - Python for Energy Analytics [Python]

(Subject to Approval for 2021-2022 Fall)

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Office Hours by Reservation via e-mail

  • Venue: Room 210, West Wing, Prefab Building

  • Date&Time: Will be announced in response to e-mail reservation

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Main Course

  • Venue: N/A

  • Date&Time: N/A

  • Objectives: This course aims to teach theoretical and practical aspects of energy analytics by introducing and using Python and its core packages for machine learning-based energy forecasting applications.

  • Contents: Introduction to Energy Analytics; Basics of Python Programming Language in Jupyter Notebook; Preparation, Wrangling, and Visualisation of Energy Data with NumPy, Pandas, and Matplotlib; Exploratory Data Analysis for Energy Analytics; Fundamentals of Energy Forecasting; Introduction to Machine Learning with Scikit-Learn; Using Python for Machine Learning-Based Energy Forecasting Applications: Electric Load Forecasting, Reactive Power Forecasting, Renewable Power Forecasting, and Electricity Price Forecasting.

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Laboratory

  • Venue: N/A

  • Date&Time: N/A

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Exams

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Announcements

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