8:00 |
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Live
Introduction
Zoltan Nagy
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:5
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:10
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Live
Deploying Reinforcement Learning for Energy Management at Scale
Bharathan Balaji
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Live
Economizer Optimization with Reinforcement Learning: An Industry Perspective
Jiaron Cui, Bharathan Balaji, Jake Chen, Charles Prosper, Wei Yih Yap
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:15
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:20
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:25
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:30
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:35
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:40
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Live
Real-World Implementation of Reinforcement Learning Based Energy Coordination for a Cluster of Households
Gargya Gokhale, Niels Tiben, Marie-Sophie Verwee, Manu Lahariya, Bert Claessens, Chris Develder
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:45
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:50
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:55
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Live
Smart Home Energy Cost Minimisation Using Energy Trading with Deep Reinforcement Learning
Matic Pokorn, Mihael Mohorčič, Andrej Čampa, Jernej Hribar
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9:00 |
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:5
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:10
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Live
Break
|
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:15
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:20
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Live
Is the Agent better than the Baseline? Google's Experiment Design for deploying Optimal Control on Smart Buildings
John Sipple
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:25
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:30
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:35
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:40
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:45
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:50
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Live
A Lightweight Calibrated Simulation Enabling Efficient Offline Learning for Optimal Control of Real Buildings
Judah Goldfeder, John Sipple
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:55
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10:00 |
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:5
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Live
TBMEnv - An Environment to Assess the Accuracy of Thermal Building Models under Realistic Conditions
David Wölfle, Samed Voßberg, Hartmut Schmeck
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:10
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:15
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:20
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Live
Break
|
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:25
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:30
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Live
CityLearn: A Tutorial on Reinforcement Learning Control for Grid-Interactive Efficient Buildings and Communities
Kingsley Nweye
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Live
Introduction to the BOPTEST Framework for Testing and Benchmarking Advanced Controllers
Javier Arroyo, David Blum, Kyle Benne
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:35
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:40
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:45
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:50
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:55
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11:00 |
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:5
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:10
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:15
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:20
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:25
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:30
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:35
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:40
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:45
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:50
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:55
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12:00 |
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:5
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:10
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:15
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:20
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:25
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:30
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:35
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:40
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:45
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:50
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:55
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13:00 |
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:5
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:10
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:15
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:20
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:25
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:30
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:35
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:40
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:45
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:50
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:55
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