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