Introduction to AI for HVAC System Optimization
This online engineering CPD course examines the use of artificial intelligence for HVAC energy optimization in buildings.
AI-driven HVAC optimization uses data analytics and intelligent control strategies to reduce energy consumption while maintaining occupant comfort and building performance.
HVAC energy performance varies with building loads, occupancy, weather conditions, equipment operation, and control settings, requiring adaptive optimization methods that can respond effectively to changing operating conditions.
This course covers predictive analytics, fault detection and diagnostics, model predictive control, reinforcement learning, data collection, preprocessing, model training, and advanced HVAC control strategies. It also emphasizes practical implementation, investment evaluation, energy savings, occupant comfort, and strategies for achieving measurable returns from AI-driven HVAC optimization.
This 4 CPD online course is applicable to mechanical and electrical engineers, as well as other technical professionals who are interested in learning more about AI-driven HVAC energy optimization.
This PE continuing education course is intended to provide you with the following specific knowledge and skills:
- Understanding AI, machine learning, and deep learning concepts and their advantages over traditional HVAC control methods
- Familiarizing with BAS, IoT sensors, weather, occupancy, and energy data used for AI-driven HVAC optimization
- Learning how to address sensor drift, communication failures, missing data, and other data quality challenges
- Understanding model predictive control and AI-based thermal modeling, equipment modeling, and load forecasting
- Familiarizing with supervised, unsupervised, and reinforcement learning applications in HVAC systems
- Understanding AI-based fault detection and diagnostics for chillers, boilers, air handling units, and distribution systems
- Learning how to evaluate AI platforms and their integration with existing building management systems
- Understanding energy savings, maintenance cost reductions, and ROI evaluation for AI-enhanced HVAC systems
- Familiarizing with digital twins, edge computing, and federated learning applications for HVAC systems
- Understanding system integration, cybersecurity, regulatory compliance, and responsible AI deployment practices
Upon successful completion of the quiz, print your Certificate of Completion instantly. (Note: if you are paying by check or money order, you will be able to print it after we receive your payment.) For your convenience, we will also email it to you. Please note that you can log in to your account at any time to access and print your Certificate of Completion.