汪运｜中南大学｜学者主页

2026

Adaptive Full-Spectrum Dynamics Modelling for Wind Power Forecasting via Heterogeneous Cascaded Experts

Sheng-Chao Zhou, Guo-Chen Xie, Yun Wang, Yong-Jun Wang

Applied Soft Computing

DOI

2026

Battery State-of-Health Estimation Using the Hybrid Machine Learning Method Optimized by a Triangulation Topology Aggregation Optimizer with Partial Constant-Current Charging Data

Minxing Zhang, Yun Wang

Energy & Fuels

DOI

2026

Gramian angular field-based explainable graph network for battery state-of-health estimation

Yun Wang, Ziyang Zhang, Yu-Hao Li, Fan Zhang

Journal of Energy Storage

DOI

2026

An End-to-End Ensemble Learning Approach for Enhancing Wind Power Forecasting

Yun Wang, Houhua Xu, Yao-Hui Huang, Fan Zhang, Hong-Bo Kou, Run-Min Zou, Qinghua Hu, Dipti Srinivasan

IEEE Transactions on Sustainable Energy

DOI

2025

Enhancing State of Health Estimation of Lithium-Ion Batteries Through Strategic Feature Analysis

Yun Wang, Qian Zhou, Fan Zhang, Runmin Zou

IEEE Transactions on Transportation Electrification

DOI

2025

A review of predictive uncertainty modeling techniques and evaluation metrics in probabilistic wind speed and wind power forecasting

Yun Wang, Fan Zhang, Hong-Bo Kou, Run-Min Zou, Qinghua Hu, Jian-Zhou Wang, Dipti Srinivasan

Applied Energy

DOI

2025

A time–frequency collaborative network with endogenous–exogenous variable decoupling for enhanced photovoltaic power forecasting

Yun Wang, Guang Li Wu, Ruipeng Dong, Hongbo Kou, Charles Chen

Energy

DOI

2025

Bidirectional Mamba network with multi-scale feature fusion and sparse-channel mixture of experts for battery state of charge estimation

Yun Wang, Yuhao Li, Ziyang Zhang, Peihua Yu, Yifen Li, Bo Liu, Runmin Zou

Energy

DOI

2025

Enhancing probabilistic photovoltaic power forecasting with parallel feature interaction and bayesian correction

Yun Wang, Guang Li Wu, Fan Zhang, Runmin Zou, Jie Wan

Engineering Applications of Artificial Intelligence

DOI

2025

Feature-driven dynamic non-crossing quantile ensemble learning for reliable probabilistic wind power forecasting

Ruipeng Dong, Yun Wang, Yaohui Huang, Runmin Zou

Energy

DOI

2025

MFFDM-WLS: A multi-granularity feature-based coherent forecasting method for temporal hierarchical wind speed time series

Yun Wang, Xiaocong Duan, Fan Zhang, Guang Li Wu, Runmin Zou, Jie Wan, Qinghua Hu

Applied Energy

DOI

2024

Dynamic non-constraint ensemble model for probabilistic wind power and wind speed forecasting

Yun Wang, Houhua Xu, Run-Min Zou, Fan Zhang, Qinghua Hu

Renewable & Sustainable Energy Reviews

DOI

2023

Wind Power Curve Modeling With Large-Scale Generalized Kernel-Based Regression Model

Yun Wang, Xiaocong Duan, Dongran Song, Runmin Zou, Fan Zhang, Yi-Fen Li

IEEE Transactions on Sustainable Energy

DOI

2023

A novel convolutional informer network for deterministic and probabilistic state-of-charge estimation of lithium-ion batteries

Runmin Zou, Yuxin Duan, Yun Wang, Jiameng Pang, Fulin Liu, S. Sheikh

Journal of Energy Storage

DOI

2023

Local-global feature-based spatio-temporal wind speed forecasting with a sparse and dynamic graph

Yun Wang, Mengmeng Song, Dazhi Yang

Energy

DOI

2023

A novel data-driven deep learning approach for wind turbine power curve modeling

Yun Wang, Xiaocong Duan, Runmin Zou, Fan Zhang, Yifen Li, Qinghua Hu

Energy

DOI

2023

An improved Wavenet network for multi-step-ahead wind energy forecasting

Yun Wang, Tuo Chen, Shengchao Zhou, Fan Zhang, Ruming Zou, Qinghua Hu

Energy Conversion and Management

DOI

2023

A convolutional Transformer-based truncated Gaussian density network with data denoising for wind speed forecasting

Yun Wang, Houhua Xu, Mengmeng Song, Fan Zhang, Yifen Li, Shengchao Zhou, Lingjun Zhang

Applied Energy

DOI

2022

A deep asymmetric Laplace neural network for deterministic and probabilistic wind power forecasting

Yun Wang, Houhua Xu, Runmin Zou, Ling Zhang, Fan Zhang

Renewable Energy

DOI

2022

Ensemble probabilistic wind power forecasting with multi-scale features

Yun Wang, Tuo Chen, Runmin Zou, Dongran Song, Fan Zhang, Ling Zhang

Renewable Energy

DOI

2022

Deep non-crossing probabilistic wind speed forecasting with multi-scale features

Runmin Zou, Mengmeng Song, Yun Wang, Ji Wang, Kaifeng Yang, M. Affenzeller

Energy Conversion and Management

DOI

2021

Wind turbine power curve modeling using an asymmetric error characteristic-based loss function and a hybrid intelligent optimizer

Runmin Zou, Jiaxin Yang, Yun Wang, Fang Liu, M. Essaaidi, D. Srinivasan

Applied Energy

DOI

2021

A review of wind speed and wind power forecasting with deep neural networks

Yun Wang, Runmin Zou, Fang Liu, Lingjun Zhang, Qian-Yi Liu

Applied Energy

DOI

2021

Sparse Heteroscedastic Multiple Spline Regression Models for Wind Turbine Power Curve Modeling

Yun Wang, Yi-Fen Li, Runmin Zou, A. Foley, Dlzar Al Kez, Dongran Song, Qing-Hua Hu, D. Srinivasan

IEEE Transactions on Sustainable Energy

DOI

2021

Bayesian infinite mixture models for wind speed distribution estimation

Yun Wang, Yi-Fen Li, Runmin Zou, Dongran Song

DOI

2019

Approaches to wind power curve modeling: A review and discussion

Yun Wang, Qing-Hua Hu, L. Li, A. Foley, D. Srinivasan

DOI

2015

基于相空间重构理论和误差矫正模型的组合风速预测模型的研究与应用

汪运

《兰州大学》

汪运

精选作品

期刊论文

Adaptive Full-Spectrum Dynamics Modelling for Wind Power Forecasting via Heterogeneous Cascaded Experts

Battery State-of-Health Estimation Using the Hybrid Machine Learning Method Optimized by a Triangulation Topology Aggregation Optimizer with Partial Constant-Current Charging Data

Gramian angular field-based explainable graph network for battery state-of-health estimation

An End-to-End Ensemble Learning Approach for Enhancing Wind Power Forecasting

Enhancing State of Health Estimation of Lithium-Ion Batteries Through Strategic Feature Analysis

A review of predictive uncertainty modeling techniques and evaluation metrics in probabilistic wind speed and wind power forecasting

A time–frequency collaborative network with endogenous–exogenous variable decoupling for enhanced photovoltaic power forecasting

Bidirectional Mamba network with multi-scale feature fusion and sparse-channel mixture of experts for battery state of charge estimation

Enhancing probabilistic photovoltaic power forecasting with parallel feature interaction and bayesian correction

Feature-driven dynamic non-crossing quantile ensemble learning for reliable probabilistic wind power forecasting

MFFDM-WLS: A multi-granularity feature-based coherent forecasting method for temporal hierarchical wind speed time series

Dynamic non-constraint ensemble model for probabilistic wind power and wind speed forecasting

Wind Power Curve Modeling With Large-Scale Generalized Kernel-Based Regression Model

A novel convolutional informer network for deterministic and probabilistic state-of-charge estimation of lithium-ion batteries

Local-global feature-based spatio-temporal wind speed forecasting with a sparse and dynamic graph

A novel data-driven deep learning approach for wind turbine power curve modeling

An improved Wavenet network for multi-step-ahead wind energy forecasting

A convolutional Transformer-based truncated Gaussian density network with data denoising for wind speed forecasting

A deep asymmetric Laplace neural network for deterministic and probabilistic wind power forecasting

Ensemble probabilistic wind power forecasting with multi-scale features

Deep non-crossing probabilistic wind speed forecasting with multi-scale features

Wind turbine power curve modeling using an asymmetric error characteristic-based loss function and a hybrid intelligent optimizer

A review of wind speed and wind power forecasting with deep neural networks

Sparse Heteroscedastic Multiple Spline Regression Models for Wind Turbine Power Curve Modeling

Bayesian infinite mixture models for wind speed distribution estimation

Approaches to wind power curve modeling: A review and discussion

基于相空间重构理论和误差矫正模型的组合风速预测模型的研究与应用

研究方向