Lijie Sun

发表

Point and interval forecasting of ultra-short-term wind power based on a data-driven method and hybrid deep learning model

D. Niu, Keke Wang, Lijie Sun, 2022, Energy.

Integrated assessment of the sustainable water-energy-food nexus in China: Case studies on multi-regional sustainability and multi-sectoral synergy

Zhengsen Ji, D. Niu, Xiaolong Yang, 2021, Journal of Cleaner Production.

Sustainable development pathways of hydropower in China: Interdisciplinary qualitative analysis and scenario-based system dynamics quantitative modeling

D. Niu, Xiaomin Xu, Keke Wang, 2020 .

Can China achieve its 2030 carbon emissions commitment? Scenario analysis based on an improved general regression neural network

D. Niu, Xiaomin Xu, Yi Liang, 2020 .

Mid-term electricity demand forecasting using improved variational mode decomposition and extreme learning machine optimized by sparrow search algorithm

Tian Gao, Zhengsen Ji, D. Niu, 2022, Energy.

Improving the energy efficiency of China: An analysis considering clean energy and fossil energy resources

Wanying Li, Zhengsen Ji, D. Niu, 2022, Energy.

Participation of electric vehicles in auxiliary service market to promote renewable energy power consumption: Case study on deep peak load regulation of auxiliary thermal power by electric vehicles

D. Niu, Gejirifu De, Xiaolong Yang, 2021, Energy Science & Engineering.

A three-stage framework for vertical carbon price interval forecast based on decomposition-integration method

Wanying Li, Zhengsen Ji, D. Niu, 2021, Appl. Soft Comput..

Prioritization of Renewable Energy Alternatives for China by Using a Hybrid FMCDM Methodology with Uncertain Information

Dongxiao Niu, Keke Wang, Lijie Sun, 2020, Sustainability.

Short-term multi-energy load forecasting for integrated energy systems based on CNN-BiGRU optimized by attention mechanism

D. Niu, Keke Wang, Lijie Sun, 2022, Applied Energy.

Research on the Economic Benefit Evaluation of Combined Heat and Power (CHP) Technical Renovation Projects Based on the Improved Factor Analysis and Incremental Method in China

Yan Li, Yang, Li, 2019, Sustainability.

A bi-level optimization model for electric vehicle charging strategy based on regional grid load following

D. Niu, Zhengsen Ji, Xiaolong Yang, 2021, Journal of Cleaner Production.

Short-term photovoltaic power generation forecasting based on random forest feature selection and CEEMD: A case study

Dongxiao Niu, Keke Wang, Lijie Sun, 2020, Appl. Soft Comput..

A novel framework for ultra-short-term interval wind power prediction based on RF-WOA-VMD and BiGRU optimized by the attention mechanism

Xiaomin Xu, D. Niu, Keke Wang, 2023, Energy.

Wind Power Short-Term Forecasting Hybrid Model Based on CEEMD-SE Method

Dongxiao Niu, Keke Wang, Lijie Sun, 2019, Processes.

Forecast Research on Multidimensional Influencing Factors of Global Offshore Wind Power Investment Based on Random Forest and Elastic Net

D. Niu, Zhengsen Ji, Xiwen Cui, 2021, Sustainability.

Point and Interval Forecasting of Ultra-Short-Term Wind Power Based on Data-Driven Method and Hybrid Deep Learning Model

D. Niu, Keke Wang, Lijie Sun, 2022, SSRN Electronic Journal.

Short-term photovoltaic power point-interval forecasting based on double-layer decomposition and WOA-BiLSTM-Attention and considering weather classification

Feiran Wang, D. Niu, Keke Wang, 2023, Energy.

Optimal Pricing Strategy of Electric Vehicle Charging Station for Promoting Green Behavior Based on Time and Space Dimensions

Dongxiao Niu, Lijie Sun, Xiaomin Xu, 2020 .