TY  - JOUR
AU  - Khayet Souhaimi, Mohamed
AU  - Aytaç, Ersin
AU  - Essalhi, Mohamed
AU  - Cipollina, Andrea
AU  - García Fernández, Loreto
AU  - Contreras Martínez, Jorge
AU  - García Payo, M. Carmen
AU  - Ruíz García, Alejandro
AU  - Figoli, Alberto
PY  - 2025
DO  - 10.1016/j.rser.2025.115812
SN  - 1364-0321
UR  - https://hdl.handle.net/20.500.14352/120221
T2  - Renewable and Sustainable Energy Reviews
AB  - This study uses bibliometric methods, machine learning, and data analysis to examine Salinity Gradient Energy (SGE), a renewable energy source derived from saline water sources of different concentrations such as seawater, waste brines and mining...
LA  - eng
M2  - 115812-1
PB  - Elsevier
KW  - Salinity gradient power
KW  - Bibliometric analysis
KW  - Blue energy
KW  - Emotion analysis
KW  - Machine learning
KW  - Sentiment analysis
KW  - Zero-shot classification
TI  - Elucidating the dynamics of salinity gradient energy research
TY  - journal article
VL  - 219
ER  -