EEE483 - Introduction to Energy Analytics [R] (2021-2022 Fall)

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

Main Course

  • Venue: N/A

  • Date&Time: N/A

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

  • Contents: An Overview of Turkish Electric Power System and Electricity Market, Digitalisation of Energy, Internet of Energy, Introduction to Energy Analytics, Basics of R Programming Language, Preparation and Wrangling of Energy Data, Visualisation of Energy Data, Exploratory Data Analysis for Energy Analytics, Introduction to Energy Forecasting, Electric Load Forecasting, Building Electrical Energy Consumption Forecasting, Reactive Power Forecasting, Renewable Energy Forecasting: Solar and Wind Energy Forecasting, and Electricity Price Forecasting.

Lecture Slides

  1. Course Introduction and Scope


  • Venue: N/A

  • Date&Time: N/A


  • Week 9: Midterm Examination

  • Week 16: Final Examination