Thermodynamic analysis and performance enhancement of an integrated solar–geothermal polygeneration system using grey wolf optimization and LSTM-based forecasting with Monte Carlo uncertainty analysis: A case study on Tenerife Island
Approved
Classifications
MinEdu publication type
A1 Journal article (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Journal article
Host publication type
Journal
Publication channel information
Title of journal/series
Applied energy
ISSN (print)
0306-2619
ISSN (electronic)
1872-9118
ISSN (linking)
0306-2619
Publisher
Elsevier
Publication forum ID
51481
Publication forum level
3
Publication appears in FT-list
No
SNIP-level of the publication
2.51
Country of publication
United Kingdom
Internationality
Yes
Detailed publication information
Publication year
2025
Reporting year
2025
Journal/series volume number
401
Article number
126640
DOI
10.1016/j.apenergy.2025.126640
Language of publication
English
Co-publication information
International co-publication
Yes
Co-publication with a company
No
Availability
Link to online publication
Link to self-archived version
Classification and additional information
MinEdu field of science classification
214 Mechanical engineering, 215 Chemical engineering, 218 Environmental engineering
Keywords
Sustainable hybrid renewable; Solar and geothermal; Green hydrogen production; seq2seq LSTM forecasting; Monte Carlo analysis; Grey wolf optimization
Funding information
Funding information in the publication
The authors acknowledge the financial support provided by the European Union’s Interreg Aurora (RESILIFY, Grant No. 20366468) and CETPartnership (OptiDCG4H2, Grant No. CETP-2023-00567, Enhance Europe CETP-2023-00061).
Research data information
Research data information in the publication
Data will be made available on request.
Source database ID
Scopus ID
2-s2.0-105013641096