Significant wave height forecasting using hybrid ensemble deep randomized networks with neurons pruning

• المؤلفون الرئيسيون: Gao, Ruobin, Li, Ruilin, Hu, Minghui, Suganthan, Ponnuthurai Nagaratnam, Yuen, Kum Fai
• مؤلفون آخرون: School of Civil and Environmental Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Electrical and electronic engineering; Time Series Forecasting; Ocean Energy
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/170491

The reliable control of wave energy devices highly relies on the forecasts of wave heights. However, the dynamic characteristics and significant fluctuation of waves’ historical data pose challenges to precise predictions. Neural networks offer a promising solution to forecast the wave heights by ex...