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Cao, Yan and Ayed, Hamdi and Dahari, Mahidzal and Sene, Ndolane and Bouallegue, Belgacem (2022) Using artificial neural network to optimize hydrogen solubility and evaluation of environmental condition effects. International Journal of Low-Carbon Technologies, 17. pp. 80-89. ISSN 1748-1317, DOI https://doi.org/10.1093/ijlct/ctab088.
Cuce, Erdem and Saxena, Abhishek and Cuce, Pinar Mert and Sen, Harun and Eroglu, Hasan and Selvanathan, Shanmuga Priya and Sudhakar, Kumarasamy and Hasanuzzaman, Md (2022) Performance assessment of solar chimney power plants with natural thermal energy storage materials on ground: CFD analysis with experimental validation. International Journal of Low-Carbon Technologies, 17. pp. 752-759. ISSN 1748-1317, DOI https://doi.org/10.1093/ijlct/ctac001.
Soudagar, Manzoore Elahi M. and Ramesh, S. and Khan, T. M. Yunus and Almakayeel, Naif and Ramesh, R. and Ghazali, Nik Nazri Nik and Cuce, Erdem and Shelare, Sagar (2024) An overview of the existing and future state of the art advancement of hybrid energy systems based on PV-solar and wind. International Journal of Low-Carbon Technologies, 19. pp. 207-216. ISSN 1748-1317, DOI https://doi.org/10.1093/ijlct/ctad123.
Soudagar, Manzoore Elahi M. and Ramesh, S. and Yunus Khan, T.M. and Almakayeel, Naif and Ramesh, R. and Nik Ghazali, Nik Nazri and Cuce, Erdem and Shelare, Sagar (2024) An overview of the existing and future state of the art advancement of hybrid energy systems based on PV-solar and wind. International Journal of Low-Carbon Technologies, 19. 207 – 216. ISSN 1748-1317, DOI https://doi.org/10.1093/ijlct/ctad123.
