Output prediction of alpha-type Stirling engines using gradient boosted regression trees and corresponding heat recovery system optimization based on improved NSGA-II-Reference-Cited by-同舟云学术

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Output prediction of alpha-type Stirling engines using gradient boosted regression trees and corresponding heat recovery system optimization based on improved NSGA-II

Published:2022-08 Issue: Volume:8 Page:835-846
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Chen Jiying^ORCID,Chu Zedong,Zhao Rui,Luo Alexander F.,Luo Kai H.

Publisher

Elsevier BV

Subject

General Energy

Reference28 articles.

1. Applications and technological challenges for heat recovery, storage and utilisation with latent thermal energy storage;Li;Appl Energy,2021

2. Solar parabolic dish stirling engine system design, simulation, and thermal analysis;Hafez;Energy Convers Manage,2016

3. Underwater striling engine design with modified one-dimensional model;Li;Int J Nav Archit Ocean Eng,2015

4. Optimization and application of stirling engine for waste heat recovery from a heavy-duty truck engine;Güven;Energy Convers Manage,2019

5. A review development of rhombic drive mechanism used in the stirling engines;Erol;Renew Sustain Energy Rev,2017

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