A hybrid neural network model for short-term wind speed forecasting based on decomposition, multi-learner ensemble, and adaptive multiple error corrections H Liu, R Yang, T Wang, L Zhang Renewable Energy 165, 573-594, 2021 | 78 | 2021 |
Wind speed forecasting using a new multi-factor fusion and multi-resolution ensemble model with real-time decomposition and adaptive error correction H Liu, R Yang, Z Duan Energy Conversion and Management 217, 112995, 2020 | 54 | 2020 |
Short-term wind speed forecasting using deep reinforcement learning with improved multiple error correction approach R Yang, H Liu, N Nikitas, Z Duan, Y Li, Y Li Energy 239, 122128, 2022 | 41 | 2022 |
A spatial multi-resolution multi-objective data-driven ensemble model for multi-step air quality index forecasting based on real-time decomposition H Liu, R Yang Computers in Industry 125, 103387, 2021 | 30 | 2021 |
A BiLSTM hybrid model for ship roll multi-step forecasting based on decomposition and hyperparameter optimization Y Wei, Z Chen, C Zhao, Y Tu, X Chen, R Yang Ocean Engineering 242, 110138, 2021 | 29 | 2021 |
A hybrid neural network model for marine dissolved oxygen concentrations time-series forecasting based on multi-factor analysis and a multi-model ensemble H Liu, R Yang, Z Duan, H Wu Engineering 7 (12), 1751-1765, 2021 | 26 | 2021 |
An ensemble multi-step forecasting model for ship roll motion under different external conditions: A case study on the South China Sea Y Wei, Z Chen, C Zhao, Y Tu, X Chen, R Yang Measurement 201, 111679, 2022 | 16 | 2022 |
Deterministic and probabilistic ship pitch prediction using a multi-predictor integration model based on hybrid data preprocessing, reinforcement learning and improved QRNN Y Wei, Z Chen, C Zhao, X Chen, R Yang, J He, C Zhang, S Wu Advanced Engineering Informatics 54, 101806, 2022 | 12 | 2022 |
An ensemble self-learning framework combined with dynamic model selection and divide-conquer strategies for carbon emissions trading price forecasting R Yang, H Liu, Y Li Chaos, Solitons & Fractals 173, 113692, 2023 | 9 | 2023 |
Quantifying uncertainty of marine water quality forecasts for environmental management using a dynamic multi-factor analysis and multi-resolution ensemble approach R Yang, H Liu, Y Li Chemosphere 331, 138831, 2023 | 4 | 2023 |
Big Data Analysis of Energy Economics in Wind Power Market H Liu, N Nikitas, Y Li, R Yang Big Data in Energy Economics, 95-115, 2022 | 3 | 2022 |
Big data analysis of energy economics in coal market H Liu, N Nikitas, Y Li, R Yang Big Data in Energy Economics, 67-94, 2022 | 2 | 2022 |
A heterogeneous ensemble architecture coupling model selection sorting and residual error iterative correction for crude oil price forecasting R Yang, H Liu, Y Li Applied Soft Computing 148, 110865, 2023 | 1 | 2023 |
Forecasting wind speed using a reinforcement learning hybrid ensemble model: a high-speed railways strong wind signal prediction study in Xinjiang, China B Liu, X Pan, R Yang, Z Duan, Y Li, S Yin, N Nikitas, H Liu Transportation Safety and Environment 5 (4), tdac064, 2023 | 1 | 2023 |
Big Data in Energy Economics H Liu, N Nikitas, Y Li, R Yang Springer, 2022 | 1 | 2022 |
Big Data Analysis of Power Market Energy Economics H Liu, N Nikitas, Y Li, R Yang Big Data in Energy Economics, 137-168, 2022 | 1 | 2022 |
Global Energy Internet Green and Low-Carbon Energy Economic Innovation H Liu, N Nikitas, Y Li, R Yang Big Data in Energy Economics, 233-258, 2022 | 1 | 2022 |
Optimization Analysis of Clean Energy Transformation H Liu, N Nikitas, Y Li, R Yang Big Data in Energy Economics, 197-231, 2022 | 1 | 2022 |
Hybrid load identification model based on grey wolf optimization algorithm LV Xinwei, R Zhiren, T Bo, L Hui, Y Rui, W Haiping 2019 25th International Conference on Automation and Computing (ICAC), 1-5, 2019 | 1 | 2019 |
A metro traffic flow forecasting system coupling singular spectrum analysis, deep bidirectional LSTM networks, and ensemble strategy R Yang, H Liu, Y Li International Conference on Internet of Things and Machine Learning (IoTML …, 2023 | | 2023 |