ThermoSense

Author:

Beltran Alex1,Erickson Varick L.1,Cerpa Alberto E.1

Affiliation:

1. Elect. Eng. & Comp. Science, Univ. of California, Merced

Publisher

ACM

Reference19 articles.

1. Energyplus. http://apps1.eere.energy.gov/buildings/energyplus/. Energyplus. http://apps1.eere.energy.gov/buildings/energyplus/.

2. Grid-eye. http://pewa.panasonic.com/downloads/grid-eye/. Grid-eye. http://pewa.panasonic.com/downloads/grid-eye/.

3. Panasonic PIR. http://pewa.panasonic.com/downloads/papirs-ekmb/. Panasonic PIR. http://pewa.panasonic.com/downloads/papirs-ekmb/.

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1. Multi-agent Reinforcement Learning for Joint Control of EV-HVAC System with Vehicle-to-Building Supply;Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD);2024-01-04

2. Transfer learning for occupancy-based HVAC control: A data-driven approach using unsupervised learning of occupancy profiles and deep reinforcement learning;Energy and Buildings;2023-12

3. TODOS: Thermal sensOr Data-driven Occupancy Estimation System for Smart Buildings;Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation;2023-11-15

4. Performance Evaluation of an Occupancy-Based HVAC Control System in an Office Building;Energies;2023-10-13

5. OCCUPIED: Long-term field experiment results from an occupant-centric control in an office building;Energy and Buildings;2023-10

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