A hybrid model for multistep-ahead significant wave height prediction using an innovative decomposition–reconstruction framework and E-GRU

Oil price forecasting: A hybrid GRU neural network based on decomposition–reconstruction methods

(2023) Shiqi Zhang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Short-term probabilistic prediction of significant wave height using bayesian model averaging: Case study of chabahar port, Iran

(2023) Rana Muhammad Adnan et al.   OCEAN ENGINEERING

Deep learning based long-term global solar irradiance and temperature forecasting using time series with multi-step multivariate output

(2023) Narjes Azizi et al.   RENEWABLE ENERGY

Improving Significant Wave Height Prediction Using a Neuro-Fuzzy Approach and Marine Predators Algorithm

(2023) Rana Muhammad Adnan Ikram et al.   Journal of Marine Science and Engineering

An Integrated Complete Ensemble Empirical Mode Decomposition with Adaptive Noise to Optimize LSTM for Significant Wave Height Forecasting

(2023) Lingxiao Zhao et al.   Journal of Marine Science and Engineering

A novel deep learning carbon price short-term prediction model with dual-stage attention mechanism

(2023) Yanfeng Wang et al.   APPLIED ENERGY

Hourly significant wave height prediction via singular spectrum analysis and wavelet transform based models

(2023) Abdüsselam Altunkaynak et al.   Ocean Engineering

Wave height predictions in complex sea flows through soft-computing models: Case study of Persian Gulf

(2022) T. Sadeghifar et al.   OCEAN ENGINEERING

Carbon price forecasting based on CEEMDAN and LSTM

(2022) Feite Zhou et al.   APPLIED ENERGY

Multi-step forecasting of ocean wave height using gate recurrent unit networks with multivariate time series

(2022) Xinfang Li et al.   OCEAN ENGINEERING

Monitoring and modelling of PM2.5 concentration at subway station construction based on IoT and LSTM algorithm optimization

(2022) Xiaohui Guo et al.   Journal of Cleaner Production

A novel Geno-fuzzy based model for hydrodynamic efficiency prediction of a land-fixed oscillating water column for various front wall openings, power take-off dampings and incident wave steepnesses

(2022) Abdüsselam Altunkaynak et al.   RENEWABLE ENERGY

Forecasting the crude oil prices with an EMD-ISBM-FNN model

(2022) Tianhui Fang et al.   ENERGY

Ultra-short term power load forecasting based on CEEMDAN-SE and LSTM neural network

(2022) Ke Li et al.   ENERGY AND BUILDINGS

Improving prediction performance of significant wave height via hybrid SVD-Fuzzy model

(2022) Anıl Çelik   OCEAN ENGINEERING

Fault diagnosis of rolling bearing using marine predators algorithm-based support vector machine and topology learning and out-of-sample embedding

(2021) Xu Chen et al.   MEASUREMENT

Case Study of a Short-Term Wave Energy Forecasting Scheme: North Indian Ocean

(2021) Chongwei Zheng et al.   Journal of Ocean University of China

Improving Significant Wave Height Forecasts Using a Joint Empirical Mode Decomposition–Long Short-Term Memory Network

(2021) Shuyi Zhou et al.   Journal of Marine Science and Engineering

The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation

(2021) Davide Chicco et al.   PeerJ Computer Science

A hybrid model for multi-step coal price forecasting using decomposition technique and deep learning algorithms

(2021) Kefei Zhang et al.   APPLIED ENERGY

Dynamic self-adjusting classification for global wave energy resources under different requirements

(2021) Chong-wei Zheng   ENERGY

Improved short-term prediction of significant wave height by decomposing deterministic and stochastic components

(2021) Weinan Huang et al.   RENEWABLE ENERGY

Accelerating the energy transition to achieve carbon neutrality

(2021) Lizette De La Peña et al.   RESOURCES CONSERVATION AND RECYCLING

A hybrid stock price index forecasting model based on variational mode decomposition and LSTM network

(2020) Hongli Niu et al.   APPLIED INTELLIGENCE

Data-Driven weather forecasting models performance comparison for improving offshore wind turbine availability and maintenance

(2020) Ravi Pandit et al.   IET Renewable Power Generation

A novel model to predict significant wave height based on long short-term memory network

(2020) Shuntao Fan et al.   OCEAN ENGINEERING

Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms

(2020) Mumtaz Ali et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

An innovative random forest-based nonlinear ensemble paradigm of improved feature extraction and deep learning for carbon price forecasting

(2020) Jujie Wang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Short-Term Wind Speed Interval Prediction Based on Ensemble GRU Model

(2019) Chaoshun Li et al.   IEEE Transactions on Sustainable Energy

Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple-horizon electricity demand forecasting

(2018) Mohanad S. AL-Musaylh et al.   APPLIED ENERGY

A machine learning framework to forecast wave conditions

(2018) Scott C. James et al.   COASTAL ENGINEERING

Application of numerical wave models at European coastlines: A review

(2018) George Lavidas et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Planetary Gears Feature Extraction and Fault Diagnosis Method Based on VMD and CNN

(2018) Chang Liu et al.   SENSORS

Coastal Wave Height Prediction using Recurrent Neural Networks (RNNs) in the South Caspian Sea

(2017) Tayeb Sadeghifar et al.   MARINE GEODESY

Prediction of significant wave height using spatial function

(2015) Abdusselam Altunkaynak   OCEAN ENGINEERING

Combining wave energy with wind and solar: Short-term forecasting

(2015) Gordon Reikard et al.   RENEWABLE ENERGY

Forecasting ocean wave energy: The ECMWF wave model and time series methods

(2011) Gordon Reikard et al.   OCEAN ENGINEERING