Advanced Certificate in Building Performance Predictive Analytics
-- ViewingNowThe Advanced Certificate in Building Performance Predictive Analytics is a comprehensive course designed to equip learners with essential skills in data analysis and predictive modeling for building performance optimization. This certificate course is crucial in today's industry, where there is a growing demand for professionals who can leverage data to make informed decisions and improve building performance.
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• Advanced Building Physics: Understanding the properties and behavior of building materials and systems to predict energy use and thermal comfort.
• Predictive Analytics Techniques: Regression analysis, machine learning, and data mining for modeling and forecasting building performance.
• Building Energy Modeling (BEM): Developing and calibrating detailed energy models of buildings and campuses using tools such as EnergyPlus and OpenStudio.
• Building Data Analytics: Collecting, cleaning, and analyzing building performance data from sensors and meters to inform predictive models.
• Building Systems Integration: Integrating building systems such as HVAC, lighting, and shading to optimize energy efficiency and occupant comfort.
• Fault Detection and Diagnostics (FDD): Identifying and diagnosing building system faults and inefficiencies using data analytics and machine learning.
• Energy Information Systems (EIS): Utilizing EIS for continuous monitoring and optimization of building performance.
• Life-Cycle Cost Analysis (LCCA): Evaluating the long-term costs and benefits of building design and operation decisions using LCCA.
• Whole Building Performance Simulation: Simulating the overall performance of buildings, including energy, water, and indoor environmental quality, to inform design and operation decisions.
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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