ALOS: Automatic learning of an occupancy schedule based on a new prediction model for a smart heating management system-Reference-Cited by-同舟云学术

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ALOS: Automatic learning of an occupancy schedule based on a new prediction model for a smart heating management system

Published:2018-09 Issue: Volume:142 Page:484-501
ISSN:0360-1323
Container-title:Building and Environment
language:en
Short-container-title:Building and Environment

Author:

Nacer Amel,Marhic Bruno,Delahoche Laurent,Masson Jean-baptiste

Funder

Hauts-de-France Region

Publisher

Elsevier BV

Subject

Building and Construction,Geography, Planning and Development,Civil and Structural Engineering,Environmental Engineering

Reference43 articles.

1. Advanced control systems engineering for energy and comfort management in a building environment—a review;Dounis;Renew. Sustain. Energy Rev.,2009

2. Importance of occupancy information for building climate control;Oldewurtel;Appl. Energy,2013

3. How people use thermostats in homes: a review;Peffer;Build. Environ.,2011

4. Usability of residential thermostats: preliminary investigations;Meier;Build. Environ.,2011

5. Energy efficiency and the misuse of programmable thermostats: the effectiveness of crowdsourcing for understanding household behavior;Pritoni;Energy Res. Soc. Sci.,2015

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1. A systematic review and comprehensive analysis of building occupancy prediction;Renewable and Sustainable Energy Reviews;2024-04

2. A novel method for intelligent heating: On-demand optimized regulation of hydraulic balance for secondary networks;Energy;2023-11

3. Building occupancy number prediction: A Transformer approach;Building and Environment;2023-10

4. Occupancy states forecasting with a hidden Markov model for incomplete data, exploiting daily periodicity;Energy and Buildings;2023-05

5. Survey of Applications of Machine Learning for Fault Detection, Diagnosis and Prediction in Microclimate Control Systems;Energies;2023-04-18

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