Concept

Air conditioning

Related publications (261)

Reinforcement Learning for proactive operation of residential energy systems by learning stochastic occupant behavior and fluctuating solar energy: Balancing comfort, hygiene and energy use

François Maréchal, Dolaana Khovalyg, Amirreza Heidari

When it comes to residential buildings, there are several stochastic parameters, such as renewable energy production, outdoor air conditions, and occupants’ behavior, that are hard to model and predict accurately, with some being unique in each specific bu ...

2022

Learning-induced biases in the ongoing dynamics of sensory representations predict stimulus generalization

Christoph Pokorny

Sensory stimuli have long been thought to be represented in the brain as activity patterns of specific neuronal assemblies. However, we still know relatively little about the long-term dynamics of sensory representations. Using chronic in vivo calcium imag ...

CELL PRESS2022

Impact of the ventilated air-space behind traditional (passive) and BIPV (active) façades on the thermo-hydrodynamic performance of the building wall structures

Mohammad Rahiminejad

For many decades, ventilated cavities in wall assemblies of buildings have been essential for creating moisture-resilient constructions by allowing airflow within the air gap to promote drying. In addition to that, the airflow in the cavity can contribute ...

EPFL2022

Understanding JET-C quiescent phases with edge harmonic magnetohydrodynamic activity and comparison with behaviour under ITER-like wall conditioning

Jonathan Graves, Wilfred Anthony Cooper, Daniele Brunetti, Alberto Mariani, Andreas Kleiner, Guillermo Bustos Ramirez

An analysis of edge localised mode-free (quiescent) H-mode discharges exhibiting edge harmonic magnetoydrodynamic activity in the JET-carbon wall machine is presented. It is observed that the otherwise quiescent pulses with multiple-n harmonic oscillations ...

IOP Publishing Ltd2022

Acquisition-dependent modulation of hippocampal neural cell adhesion molecules by associative motor learning

Maria del Carmen Sandi Perez

It is widely accepted that some types of learning involve structural and functional changes of hippocampal synapses. Cell adhesion molecules neural cell adhesion molecule (NCAM), its polysialylated form polysialic acid to NCAM (PSA-NCAM), and L1 are promin ...

FRONTIERS MEDIA SA2022

DG-Mix: Domain Generalization for Anomalous Sound Detection Based on Self-Supervised Learning

Olga Fink, Ismail Nejjar, Gaëtan Michel Frusque

Detecting anomalies in sound data has recently received significant attention due to the increasing number of implementations of sound condition monitoring solutions for critical assets. In this context, changing operating conditions impose significant dom ...

2022

Amine Functionalization in Porous Adsorbents for Carbon Capture and Conversion

Anita Justin

Metal-organic Frameworks (MOFs) are a class of crystalline porous materials with exceptionally high surface area, chemical tunability and stability. Due to alarming CO2 emission and global concern, research is focused on developing porous materials like MO ...

EPFL2022

Iterative pre-conditioning for expediting the distributed gradient-descent method: The case of linear least-squares problem

Nirupam Gupta

This paper considers the multi-agent linear least-squares problem in a server-agent network architecture. The system comprises multiple agents, each with a set of local data points. The agents are connected to a server, and there is no inter-agent communic ...

PERGAMON-ELSEVIER SCIENCE LTD2022

VO2:Ge based thermochromic solar absorber coatings

Anna Krammer, Josef Andreas Schuler

Flat plate solar collectors face the problem of overheating and the ensuing high thermal stresses and general collector damage lead to high maintenance costs. To address this challenge, absorber coatings with a passive optical switch at critically high ope ...

ELSEVIER2022

Ray-tracing MRT and human thermophysiology model combination for local discomfort prediction

Dolaana Khovalyg, Arnab Chatterjee, Mohamad Rida

Thermal comfort and discomfort based on the local sensation of different body parts have been an important development in thermal comfort studies from the past decade. The human thermophysiology model can be a handy tool to predict local skin and core temp ...

TU Delft2022

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