Towards carbon Neutrality: Prediction of wave energy based on improved GRU in Maritime transportation
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DOI: 10.1016/j.apenergy.2022.120394
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Cited by:
- Pang, Junheng & Dong, Sheng, 2023. "A novel multivariable hybrid model to improve short and long-term significant wave height prediction," Applied Energy, Elsevier, vol. 351(C).
- Zhou, Guangzhao & Guo, Zanquan & Sun, Simin & Jin, Qingsheng, 2023. "A CNN-BiGRU-AM neural network for AI applications in shale oil production prediction," Applied Energy, Elsevier, vol. 344(C).
- Wu, Han & Liang, Yan & Gao, Xiao-Zhi, 2023. "Left-right brain interaction inspired bionic deep network for forecasting significant wave height," Energy, Elsevier, vol. 278(PB).
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Keywords
Carbon Neutrality; Maritime Transportation; Wave Energy Prediction; Gated Recurrent Unit Network; Bayesian optimization algorithm;All these keywords.
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