Modeling of geothermal power system equipped with absorption refrigeration and solar energy using multilayer perceptron neural network optimized with imperialist competitive algorithm-Reference-Cited by-同舟云学术

Modeling of geothermal power system equipped with absorption refrigeration and solar energy using multilayer perceptron neural network optimized with imperialist competitive algorithm

Published:2020-12 Issue: Volume:276 Page:124216
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Khosravi A.,Syri S.

Funder

Aalto-Yliopisto

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment

Reference32 articles.

1. “Imperialist Competitive Algorithm: an Algorithm for Optimization Inspired by Imperialistic Competition,” in 2007;Atashpaz-Gargari,2007

2. Geothermal energy recovery from deep flooded copper mines for heating;Bao;Energy Convers. Manag.,2019

3. Energy and environmental implications of using geothermal heat pumps in buildings: an example from north China;Chang;J. Clean. Prod.,2017

4. Optimal multivariable conditions in the operation of an absorption heat transformer with energy recycling solved by the genetic algorithm in artificial neural network inverse;Conde-Gutiérrez;Appl. Soft Comput.,2018

5. Thermodynamic analyses and case studies of geothermal based multi-generation systems;Coskun;J. Clean. Prod.,2012

Cited by 30 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dual-time-scale zone economic model predictive control of micro gas turbine cogeneration systems;Chemical Engineering Research and Design;2024-09

2. Design and optimization of a geothermal absorption cooling system in a tropical climate;Applied Energy;2024-06

3. Intelligent computing hybrid models on estimating the consolidation settlement of shallow foundations;Multiscale and Multidisciplinary Modeling, Experiments and Design;2024-04-12

4. Using Particle Swarm Optimization with Backpropagation Neural Networks and Analytic Hierarchy Process to Optimize the Power Generation Performance of Enhanced Geothermal System (EGS);Water;2024-02-05

5. Design of solar power-based hybrid desalination predictive method using optimized neural network;Desalination;2023-11