Dynamics analysis of a novel hybrid deep clustering for unsupervised learning by reinforcement of multi-agent to energy saving in intelligent buildings-Reference-Cited by-同舟云学术

Dynamics analysis of a novel hybrid deep clustering for unsupervised learning by reinforcement of multi-agent to energy saving in intelligent buildings

Published:2022-05 Issue: Volume:313 Page:118863
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Homod Raad Z.,Togun Hussein,Kadhim Hussein Ahmed,Noraldeen Al-Mousawi Fadhel,Yaseen Zaher Mundher,Al-Kouz Wael,Abd Haider J.,Alawi Omer A.,Goodarzi Marjan,Hussein Omar A.

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference63 articles.

1. Effect of different building envelope materials on thermal comfort and air-conditioning energy savings: A case study in Basra city, Iraq;Homod;J. Energy Storage,2021

2. Sahari, K.M., Jalal, M.A., Homod, R.Z. and Eng, Y.K., 2013, June. Dynamic indoor thermal comfort model identification based on neural computing PMV index. In IOP Conference Series: Earth and Environmental Science (Vol. 16, No. 1, p. 012113). IOP Publishing.

3. Evaluation of energy-saving potential for optimal time response of HVAC control system in smart buildings;Homod;Appl Energy,2020

4. Hybrid LSA-ANN based home energy management scheduling controller for residential demand response strategy;Ahmed;Energies,2016

5. Analysis and Optimization of HVAC Control Systems Based on Energy and Performance Considerations for Smart Buildings;Homod;Renewable Energy,2018

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