Energy Modeling: Predicting & Optimizing Consumption

Learn to predict and optimize energy consumption using simplified energy modeling and AI-assisted analytics. Forecast energy use, identify inefficiencies, and apply practical optimization strategies through hands-on, real-world scenarios.

Jairo Sánchez
Published: Jan 2026
Intermediate
Data Science
3 hours
In partnership with:Coursera
Energy Modeling: Predicting & Optimizing Consumption

Course Overview

Did you know that energy efficiency improvements could cut global energy demand by nearly 4% by 2030? 1 In an era of rising energy costs and sustainability challenges, mastering energy modeling is essential for professionals who want to optimize energy use and reduce waste. 

In this course, you will explore how energy modeling works, apply predictive analytics to forecast energy consumption, and learn how to optimize energy systems through concise, hands-on lab (HOL) exercises—no advanced technical background is required. You’ll use accessible AI tools (like Gemini) and simple data inputs to quickly analyze, predict, and propose energy optimization measures in real-world scenarios.

Skills You Will Gain

Analytics
electric power systems
Energy Data
EV Energy Consumption
Energy Efficiency

Learning Outcomes (At the end of this program, you will be able to...)

  • Describe fundamental energy modeling concepts and use basic predictive analytics to evaluate and forecast energy consumption in practical scenarios.
  • Identify key inefficiencies and propose AI-driven optimization measures through hands-on labs with minimal setup and quick turnaround times.
  • Implement simple, data-driven modeling with AI tools in rapid tasks to improve forecasting accuracy and support energy-saving strategies.
  • Develop energy efficiency strategies through scenario-based labs to translate theoretical modeling insights into actionable steps.

Prerequisites

Learners should have a basic understanding of energy systems and sustainability concepts, as well as familiarity with Excel or other data analysis tools. No prior programming experience is required—accessible AI tools are used to ensure that participants from both technical and non-technical backgrounds can follow along and complete the hands-on lab exercises effectively.
 

Who Should Attend

This course is designed for professionals and learners eager to master energy modeling techniques and apply data-driven methods to optimize energy use. It is particularly valuable for energy engineers, analysts, facility and building managers, and sustainability professionals working to improve energy efficiency and performance in diverse environments. Additionally, utility company analysts, policy advisors, and students in energy studies will benefit from practical insights into forecasting, optimization, and real-time energy management.

Course Includes

1.5K
STUDENTS*
92.1%
RECOMMEND*

This course includes:

  • On-demand videos
  • Practice assessments
  • Multiple hands-on learning activities
  • Exposure to a real-world project
  • 100% self-paced learning opportunities
  • Certification of completion

Curriculum

Explore the comprehensive, hands-on curriculum designed to build your expertise step by step.

Meet Your Expert Instructors

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*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.