Full Description

This product is a zip file that contains files that consist of PowerPoint slides synchronized with the audio-recording of the speaker, PDF files of the slides, and audio only (mp3 format) as noted.

This advanced session discusses sophisticated machine learning (ML) optimization techniques and their application to improve operational efficiency and delivery of services for complex systems such as buildings and campuses. This session includes three presentations that focus on Supervised Learning and Reinforced Learning techniques for driving building controls towards superior strategies.

A Comparison Study of ASHRAE Guideline 36 Supervisory Controls and Deep Reinforcement Learning-Based Controller for a Multi-Zone VAV System
Zheng O'Neill, Ph.D., P.E., Fellow ASHRAE, Texas AM University, College Station, TXImplementation of Structured Reinforcement Learning for Supply Air Temperature Control
Amanda Pertzborn, Ph.D., Associate Member, NIST, Gaithersburg, MDSupervised Learning: A Powerful Tool for Smart Building Optimization
Omar Abdelaziz, Member, Zewail City of Science and Technology, Giza, Egypt

Product Details

Published: 2022 Units of Measure: Dual File Size: 1 file Product Code(s): D-TO22Sem-41 Note: This product is unavailable in Russia, Belarus