The Energy Management Association is teaming up with Energy Twin to host a free AIA-approved webinar where speakers will highlight practical, data-driven applications that reveal energy-saving opportunities, optimize cooling, and reduce operational waste across individual buildings and large portfolios. Attendees will explore real-world examples, including a fast-food chain case study demonstrating how these solutions yield measurable savings and operational improvements.

• Understanding Key Challenges in Developing Meaningful Machine Learning Models for Energy Management
• Leveraging Explainable AI to Generate Actionable Insights for Energy Savings
• Exploring Anomaly Detection Techniques and Their Impact on Energy Efficiency
• Scalability and Cost-Effectiveness of AI Solutions for Large Building Portfolios

When: December 10, 2024, 2:00 PM Eastern / 1:00 PM Central / 12:00 PM Mountain / 11:00 AM Pacific

Presenters: Jan Široký, PhD., CEO of Energy Twin &  Allison Fitzpatrick, Co-founder of ACTuate Facility Technologies

Continuing Education Credits: AIA 1 LU

Cost: Free

Who Should Attend? Building Owners & Facility Managers, Architects, Commissioning Providers, Energy Managers, MEP Engineers, HVAC Testing Professionals, and other Building Professionals.

Sponsor:  Energy Twin specializes in advanced machine learning solutions for energy management. Beyond its primary offerings for building portfolio analysis, the company provides customized machine learning solutions tailored to specific client needs, enabling diverse organizations to optimize energy consumption and reduce operational costs. With a focus on scalability and efficient energy use, Energy Twin enables clients to drive impactful energy savings through accessible, data-driven insights.

Register here

Check out more news, articles and blogs here

• 
•