Publications related to Thermostat

Scenario optimization for the tokamak ramp-down phase in RAPTOR. Part B: safe termination of DEMO plasmas

Olivier Sauter, Federico Alberto Alfredo Felici, Cassandre Ekta Contré, Emiliano Fable, Anna Teplukhina, Simon Van Mulders

An optimized plasma current ramp-down strategy is critical for safe and fast termination of plasma discharges in a tokamak demonstration fusion reactor (DEMO), both in planned and emergency scenarios, avoiding plasma disruptions and excessive heat loads to ...

Bristol2024

Impact of Standard versus Tracked-based User Behavior into Energy Simulations of Open-Space Offices

Dolaana Khovalyg, Verena Marie Barthelmes, Arnab Chatterjee

This simulation-based study aimed to contribute to gaining knowledge on how much the deviation between occupant-related input by the national standard and by insitu measurements might impact predictions of heating/cooling needs in offices. Analysis was per ...

2023

Efficient and Accurate Peer-to-Peer Training of Machine Learning Based Home Thermal Models

Rachid Guerraoui, Alexandre David Olivier Maurer, Omid Ardakanian

The integration of smart thermostats in home automation systems has created an opportunity to optimize space heating and cooling through the use of machine learning, for example for thermal model identification. Nonetheless, its full potential remains unta ...

New York2023

Homothetic Tube Model Predictive Control With Multi-Step Predictors

Giancarlo Ferrari Trecate, Danilo Saccani, Melanie Nicole Zeilinger

We present a robust model predictive control (MPC) framework for linear systems facing bounded parametric uncertainty and bounded disturbances. Our approach deviates from standard MPC formulations by integrating multi-step predictors, which provide reduced ...

Piscataway2023

Efficacy of temporal and spatial abstraction for training accurate machine learning models: A case study in smart thermostats

Rachid Guerraoui, Alexandre David Olivier Maurer, Omid Ardakanian

Smart thermostats are increasingly popular in homes and buildings as they improve occupant comfort, lower energy use in heating and cooling systems, and reduce utility bills by automatically adjusting room temperature according to measurements of their bui ...

ELSEVIER SCIENCE SA2023

Reaching Thermal Comfort Zone Limits for Resilient Building Operation: A Winter Case Study for Offices

Dolaana Khovalyg, Verena Marie Barthelmes, Arnab Chatterjee

A specific range of acceptable indoor thermal conditions is stipulated by building performance standards to assure minimum dissatisfaction of occupants. Thus, the operation of buildings in practice tends to follow a cautious approach by setting the indoor ...

Routledge 2022

Microchannel cooling for the LHCb VELO Upgrade I

Alessandro Mapelli, Giulia Romagnoli, Victor Coco

The LHCb VELO Upgrade I, currently being installed for the 2022 start of LHC Run 3, uses silicon microchannel coolers with internally circulating bi-phase CO2 for thermal control of hybrid pixel modules operating in vacuum. This is the largest scale applic ...

ELSEVIER2022

Actuator, valve actuator unit and valve

Herbert Shea, Fabio Beco Albuquerque

An actuator (22) comprises at least one actuator body (32) of dielectric elastomeric material and two electrodes (34, 36) being attached to opposite surfaces of the actuator body (32), respectively. At least one of the actuator body (32) and at least one o ...

2022

Non-evaporable getter pump operations in the TCV tokamak

Ambrogio Fasoli, Basil Duval, Stefano Coda, Yves Martin, Holger Reimerdes, Marcelo Baquero Ruiz, Frédéric Dolizy

A non-evaporable getter pump using the ZAO alloy was installed on TCV and operated during the 2019 experimental campaign. The pump performance, determined from in-situ pumping speed measurements, indicates that current getter pump technologies are well sui ...

ELSEVIER SCIENCE SA2021

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Thermostat

Scenario optimization for the tokamak ramp-down phase in RAPTOR. Part B: safe termination of DEMO plasmas

Impact of Standard versus Tracked-based User Behavior into Energy Simulations of Open-Space Offices

Efficient and Accurate Peer-to-Peer Training of Machine Learning Based Home Thermal Models

Homothetic Tube Model Predictive Control With Multi-Step Predictors

Efficacy of temporal and spatial abstraction for training accurate machine learning models: A case study in smart thermostats

Reaching Thermal Comfort Zone Limits for Resilient Building Operation: A Winter Case Study for Offices

Microchannel cooling for the LHCb VELO Upgrade I

Actuator, valve actuator unit and valve

The Energy Consumption of Terraces in the Barcelona Public Space: Heating the Street

Non-evaporable getter pump operations in the TCV tokamak

Graph Chatbot

Chat with Graph Search

Homothetic Tube Model Predictive Control With Multi-Step Predictors

Scenario optimization for the tokamak ramp-down phase in RAPTOR. Part B: safe termination of DEMO plasmas

Efficacy of temporal and spatial abstraction for training accurate machine learning models: A case study in smart thermostats

Reaching Thermal Comfort Zone Limits for Resilient Building Operation: A Winter Case Study for Offices

Impact of Standard versus Tracked-based User Behavior into Energy Simulations of Open-Space Offices

The Energy Consumption of Terraces in the Barcelona Public Space: Heating the Street

Non-evaporable getter pump operations in the TCV tokamak

Microchannel cooling for the LHCb VELO Upgrade I

Actuator, valve actuator unit and valve

Efficient and Accurate Peer-to-Peer Training of Machine Learning Based Home Thermal Models