Deep clustering of reinforcement learning based on the bang-bang principle to optimize the energy in multi-boiler for intelligent buildings-Reference-Cited by-同舟云学术

Deep clustering of reinforcement learning based on the bang-bang principle to optimize the energy in multi-boiler for intelligent buildings

Published:2024-02 Issue: Volume:356 Page:122357
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Homod Raad Z.,Munahi Basil Sh.,Mohammed Hayder Ibrahim,Albadr Musatafa Abbas Abbood,Abderrahmane AISSA,Mahdi Jasim M.,Ben Hamida Mohamed Bechir,Alhasnawi Bilal Naji,Albahri A.S.,Togun Hussein,Alqsair Umar F.,Yaseen Zaher Mundher

Funder

Prince Sattam bin Abdulaziz University

Publisher

Elsevier BV

Subject

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

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3. Experimental investigation on the performance of a boiler system with flue gas dehumidification and combustion air humidification;Liao;Appl Energy,2022

4. Towards ideal NOx control technology for bio-oils and a gas multi-fuel boiler system using a plasma-chemical hybrid process;Fujishima;Appl Energy,2013

5. Implementation of a multi-setpoint strategy for fire-tube boilers utilized in food and beverage industry: estimating the fuel saving potential;Tognoli;Sustain Energy Technolo Assess,2022

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