EEE483 - Introduction to Energy Analytics [R] (2022-2023 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

  • Prerequisites: EEE356 Data Analytics

  • 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, Darting a Glance at Digitalisation of Energy and Internet of Energy Concepts, Introduction to Energy Analytics, Basics of R Programming Language, Data Structures, Control Structures, Functions, Preparation and Wrangling of Energy Data, Visualisation of Energy Data, Exploratory Data Analysis for Energy Analytics, Introduction to Electric Load Forecasting, Case Studies.

Lecture Slides

  1. Course Introduction and Scope


  • Venue: N/A

  • Date&Time: N/A


  • Week 9: Midterm Examination

  • Week 16: Final Examination