Human-in-the-loop control strategy for IoT-based smart thermostats with Deep Reinforcement Learning

Human-in-the-loop control strategy for IoT-based smart thermostats with Deep Reinforcement Learning

Thermostatic Radiator Valves (TRVs) are a widely used technology for regulating room heating in Europe countries. Smart TRVs can provide significant energy savings, often ranging from 20–40% compared to conventional heating systems. They use sensors and algorithms to learn user behavior and optimize...

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Bibliographic Details
Main Authors: Payam Fatehi Karjou, Fabian Stupperich, Phillip Stoffel, Drk Müller
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:Energy and AI
Subjects:
Human-in-the-loop control
AI
TRV
RLC
IoT
Online Access:http://www.sciencedirect.com/science/article/pii/S2666546825000229
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