Latent Heat Prediction of Nano Enhanced Phase Change Material by ANN Method-Reference-Cited by-同舟云学术

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Latent Heat Prediction of Nano Enhanced Phase Change Material by ANN Method

Published:2022 Issue:3 Volume:119 Page:847-861
ISSN:0199-8595
Container-title:Energy Engineering
language:en
Short-container-title:

Author:

Jaliliantabar Farzad,Mamat Rizalman,Kumarasamy Sudhakar

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Energy Engineering and Power Technology,Building and Construction,Renewable Energy, Sustainability and the Environment

Link

https://www.techscience.com/energy/v119n3/47288/pdf

Reference63 articles.

1. Nanoparticle enhanced pcm applications for intensification of thermal performance in building: A review;Nematpour Keshteli;Journal of Molecular Liquids,2019

2. Comparative evaluation of physical and chemical properties, emission and combustion characteristics of brassica, cardoon and coffee based biodiesels as fuel in a compression-ignition engine;Jaliliantabar;Fuel,2018

3. Energy consumption trends and their linkages with renewable energy policies in East and Southeast Asian countries: Challenges and opportunities;Sharvini;Sustainable Environment Research,2018

4. Towards sustainable energy: A systematic review of renewable energy sources, technologies, and public opinions;Qazi;IEEE Access,2019

5. Storage of thermal solar energy;Stutz;Comptes Rendus Physique,2017

Cited by 1 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. Experimental Investigation and Artificial Neural Network-Based Prediction of Thermal Conductivity of Metal Oxide-Enhanced Organic Phase-Change Materials;International Journal of Energy Research;2024-02-14

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