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.
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'll gain
What you'll learn
- 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.
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.
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.
This course is designed to be accessible, but basic familiarity with the domain will help you get the most out of the advanced modules.
Curriculum
Explore the comprehensive, hands-on curriculum designed to build your expertise step by step.
Meet your instructors
Jairo Sánchez
VIEW MY CHANNELFrequently Asked Questions
How much do the courses at Starweaver cost?
We offer flexible payment options to make learning accessible for everyone. With our Pay-As-You-Go plan, you can pay for each course individually. Alternatively, our Subscription-Based plan provides you with unlimited access to all courses for a monthly or yearly fee.
Do you offer any certifications upon completion of a course at Starweaver?
Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.
Does Starweaver offer any free courses or trials?
No, we don't offer any free courses, but we do offer 5-day trial only on our subscriptions-based plans.
Are Starweaver's courses designed for beginners or advanced students?
Our course is designed with three levels to cater to your learning needs - Core, Intermediate, and Advanced. You can choose the level that best suits your knowledge and skillset to enhance your learning experience.
What payment options are available for Starweaver courses?
We accept various payment methods such as major credit cards, PayPal, wire transfer, and company purchase orders. For more information related to payments contact customer support.
Do you offer refunds?
Yes, we do offer a 100% refund guarantee for our courses within a specified time frame. If you are not satisfied with the course, contact our customer support team to request a refund with your order details. Some restrictions may apply.
