Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

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

Saikia, Pranaynil, Bastida Hernandez, Héctor and Ugalde Loo, Carlos ORCID: https://orcid.org/0000-0001-6361-4454 2024. An effective predictor of the dynamic operation of latent heat thermal energy storage units based on a non-linear autoregressive network with exogenous inputs. Applied Energy 360 , 122697. 10.1016/j.apenergy.2024.122697

[thumbnail of 1-s2.0-S0306261924000801-main.pdf]
Preview
PDF - Published Version
Available under License Creative Commons Attribution.

Download (14MB) | Preview
License URL: http://creativecommons.org/licenses/by/4.0/
License Start date: 7 February 2024
Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: Elsevier
ISSN: 1068-7181
Funders: EPRSC
Date of First Compliant Deposit: 8 February 2024
Date of Acceptance: 18 January 2024
Last Modified: 16 Apr 2024 09:29
URI: https://orca.cardiff.ac.uk/id/eprint/165658

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics