An efficient multilayer adaptive self-organizing modeling methodology for improving the generalization ability of organic Rankine cycle (ORC) data-driven model-Reference-Cited by-同舟云学术

An efficient multilayer adaptive self-organizing modeling methodology for improving the generalization ability of organic Rankine cycle (ORC) data-driven model

Published:2023-11 Issue: Volume:126 Page:106744
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Ping Xu,Yang Fubin,Zhang Hongguang,Xing Chengda,Yang Anren,Wang Yan

Funder

State Key Laboratory of Engines

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference71 articles.

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5. Comparing the profitability of waste heat electricity generation of internal combustion engines: An exergoeconomic analysis through optimization of two different Organic Rankine cycle scenarios;Asadi;Appl. Therm. Eng.,2022

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