Design analysis and performance prediction of packed bed latent heat storage system employing machine learning models-Reference-Cited by-同舟云学术

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Design analysis and performance prediction of packed bed latent heat storage system employing machine learning models

Published:2023-11 Issue: Volume:72 Page:108690
ISSN:2352-152X
Container-title:Journal of Energy Storage
language:en
Short-container-title:Journal of Energy Storage

Author:

Anand Pratyush,Tejes P.K.S.,Naik B. Kiran,Niyas Hakeem

Funder

National Institute of Technology Rourkela

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Reference45 articles.

1. Environmental impacts of energy;Dincer;Energy Policy,1999

2. Renewable energy today and tomorrow;Bull;Proc. IEEE,2001

3. Thermal Energy Storage and Regeneration;Schmidt,1981

4. Thermal energy storage materials and systems for solar energy applications;Alva;Renew. Sust. Energ. Rev.,2017

5. Shell-and-tube or packed bed thermal energy storage systems integrated with a concentrated solar power: a techno-economic comparison of sensible and latent heat systems;Tehrani;Appl. Energy,2019

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. Identifying driving factors in cascaded packed bed latent thermal energy storage: An experimental validation;Renewable Energy;2024-04

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