top of page
atu_logo.png

EEE483 - Introduction to Energy Analytics [R] (2023-2024 Fall)

​

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

  2. An Overview of Turkish Electric Power System and Electricity Market

  3. Darting a Glance at Digitalisation of Energy and Internet of Energy Concepts

  4. Introduction to Energy Analytics: Measuring Energy, Energy Conversion, Energy Carriers, Energy Use in Transportation, Buildings, and Industry

  5. Introduction to Energy Analytics: Energy Data Analytics and R in EneRgy

  6. Case Study for Midterm Exam: Data Set and .R File

​

Laboratory

  • Venue: N/A

  • Date&Time: N/A

​

Laboratory Files

​

Exams

  • Week 9: Midterm Examination (2022)

  • Week 16: Final Examination (2022)

​

Announcements

​

bottom of page