Jianming Hu

发表

A novel Bayesian ensembling model for wind power forecasting

Jingwei Tang, Jianming Hu, Jiani Heng, 2022, Heliyon.

Wind speed probability distribution estimation and wind energy assessment

Jianzhou Wang, Jianming Hu, Kailiang Ma, 2016 .

Probabilistic and deterministic wind speed forecasting based on non-parametric approaches and wind characteristics information

Yongmiao Hong, Shouyang Wang, Jianming Hu, 2022, Applied Energy.

Deterministic and probabilistic wind speed forecasting with de-noising-reconstruction strategy and quantile regression based algorithm

Jiani Heng, Jianming Hu, Jiemei Wen, 2020 .

Research and application of a hybrid model based on Meta learning strategy for wind power deterministic and probabilistic forecasting

Jiani Heng, Jianming Hu, Jingwei Tang, 2018, Energy Conversion and Management.

A hybrid technique for short-term wind speed prediction

Jianzhou Wang, Jianming Hu, Kailiang Ma, 2015 .

Short-term wind speed prediction using empirical wavelet transform and Gaussian process regression

Jianzhou Wang, Jianming Hu, Jianzhou Wang, 2015 .

A novel wind speed forecasting system based on hybrid data preprocessing and multi-objective optimization

Jianming Hu, Chengshi Tian, Yan Hao, 2018, Applied Energy.

A new wind power interval prediction approach based on reservoir computing and a quality-driven loss function

Jing Zhao, Jianming Hu, Jingwei Tang, 2020, Appl. Soft Comput..

Wind resource assessment based on numerical simulations and an optimized ensemble system

Jing Zhao, Ye Zhang, Zhenhai Guo, 2019 .

A robust combination approach for short-term wind speed forecastingand analysis e Combination of the ARIMA (Autoregressive IntegratedMoving Average), ELM (Extreme Learning Machine), SVM (SupportVector Machine) and LSSVM (Least Square SVM) forecasts u

Jianzhou Wang, Jianming Hu, Jianzhou Wang, 2015 .

Conformalized temporal convolutional quantile regression networks for wind power interval forecasting

Yuwen Deng, Jianming Hu, Jiani Heng, 2022, Energy.

A self-adaptive hybrid approach for wind speed forecasting

Jianzhou Wang, Jianming Hu, Yixin Zhang, 2015 .

A hybrid forecasting approach applied to wind speed time series

Jianzhou Wang, Jianming Hu, Guowei Zeng, 2013 .

Integrating a softened multi-interval loss function into neural networks for wind power prediction

Jianming Hu, Weigang Zhao, Jingwei Tang, 2021, Appl. Soft Comput..

A hybrid approach based on the Gaussian process with t-observation model for short-term wind speed forecasts

Jianzhou Wang, Jianming Hu, Liqun Xiao, 2017 .