An effective predictor of the dynamic operation of latent heat thermal energy storage units based on a non-linear autoregressive network with exogenous inputs-Reference-Cited by-同舟云学术

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An effective predictor of the dynamic operation of latent heat thermal energy storage units based on a non-linear autoregressive network with exogenous inputs

Published:2024-04 Issue: Volume:360 Page:122697
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Saikia Pranaynil,Bastida Héctor,Ugalde-Loo Carlos E.

Funder

UK Research and Innovation

Engineering and Physical Sciences Research Council

Publisher

Elsevier BV

Reference48 articles.

1. Transition towards carbon-neutral districts based on storage techniques and spatiotemporal energy sharing with electrification and hydrogenation;Zhou;Renew Sustain Energy Rev,2022

2. Thermal energy storage for industrial thermal loads and electricity demand side management;Cirocco;Energ Conver Manage,2022

3. Multi-dimensional assessment and multi-objective optimization of electricity-cooling cogeneration system driven by marine diesel engine waste heat;Wang;J Clean Prod,2022

4. Demonstration study on ground source heat pump heating system with solar thermal energy storage for greenhouse heating;Yang;J Energy Storage,2022

5. A numerical assessment of a latent heat storage system for district heating substations;Hlimi;J Energy Storage,2023

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. State‐of‐Charge Estimation of Thermal Energy Storage Units;Advancements in Non‐Conventional Cooling and Thermal Storage Strategies;2024-08-23

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