Prediction of daily average seawater temperature using data-driven and deep learning algorithms
Author:
Funder
Çukurova Üniversitesi
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-09010-0.pdf
Reference56 articles.
1. Suparta W (2020) Marine heat as a renewable energy source. Widyakala J 7(1):37. https://doi.org/10.36262/widyakala.v7i1.278
2. Teguh NH, Yuliati L, Darmadi DB (2022) Effect of seawater temperature rising to the performance of northern gorontalo small scale power plant. Case Stud Therm Eng 32:101858. https://doi.org/10.1016/j.csite.2022.101858
3. Huang F, Lin J, Zheng B (2019) Effects of thermal discharge from coastal nuclear power plants and thermal power plants on the thermocline characteristics in sea areas with different tidal dynamics. Water 11:2577. https://doi.org/10.3390/w11122577
4. Kisi O, Shiri J (2014) Prediction of long-term monthly air temperature using geographical inputs. Int J Climatol 34:179–186
5. Bilgili M, Sahin B (2010) Prediction of long-term monthly temperature and rainfall in Turkey. Energy Sources Part A Recover Util Environ Eff 32:60–71
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