Regional wind power probabilistic forecasting based on an improved kernel density estimation, regular vine copulas, and ensemble learning

W Dong, H Sun, J Tan, Z Li, J Zhang, H Yang - Energy, 2022 - Elsevier
Reliable wind energy forecasting is crucial for the stable operation of power grids. This paper
proposes a regional wind power probabilistic forecasting model comprising an improved …

Fault diagnosis of wind turbine power converter considering wavelet transform, feature analysis, judgment and BP neural network

J Zhang, H Sun, Z Sun, W Dong, Y Dong - IEEE Access, 2019 - ieeexplore.ieee.org
The larger capacity of power converters increases with the size of wind turbines over the years,
which implies more failures occur in the components of power converter. Meanwhile, the …

Short-term wind power prediction based on particle swarm optimization-extreme learning machine model combined with AdaBoost algorithm

…, Z Jiang, X Cao, Y Liang, Y Zhao, Z Li, W Dong… - IEEE …, 2021 - ieeexplore.ieee.org
As the proportion of wind power in the world's electricity generation increases, improving wind
power prediction accuracy is vital for making full use of wind energy and ensuring the safe …

Bilayer rGO‐Based Photothermal Evaporator for Efficient Solar‐Driven Water Purification[]**

W Dong, Y Wang, Y Zhang, X Song… - … A European Journal, 2021 - Wiley Online Library
Interfacial evaporation has emerged as a promising approach to produce freshwater.
However, an urgent concern is that, due to the illegal discharge of industrial wastewater, most …

Multi-degree-of-freedom high-efficiency wind power generation system and its optimal regulation based on short-term wind forecasting

W Dong, H Sun, J Tan, Z Li, J Zhang, H Yang - Energy Conversion and …, 2021 - Elsevier
The efficient and stable operation of wind generators is important for the realization of large-scale
power generation. In this study, a multi-degree-of-freedom (multi-DoF) wind power …

Design and optimal scheduling of forecasting-based campus multi-energy complementary energy system

W Dong, H Sun, Z Li, H Yang - Energy, 2024 - Elsevier
This study presents a complete campus multi-energy complementary energy system (MCES),
including an accurate forecasting model, efficient MCES model, and effective multi-…

Stochastic optimal scheduling strategy for a campus-isolated microgrid energy management system considering dependencies

W Dong, H Sun, C Mei, Z Li, J Zhang, H Yang… - Energy Conversion and …, 2023 - Elsevier
Isolated microgrids have been widely used on campuses, becoming an important part of
their power-supply infrastructure. In this study, a stochastic optimal scheduling strategy that …

Coupling solar‐driven interfacial evaporation with forward osmosis for continuous water treatment

X Song, W Dong, Y Zhang, HM Abdel‐Ghafar… - …, 2022 - Wiley Online Library
Forward osmosis (FO) driven by osmotic pressure difference has great potential in water
treatment. However, it remains a challenge to maintain a steady water flux at continuous …

Forecast-driven stochastic optimization scheduling of an energy management system for an isolated hydrogen microgrid

W Dong, H Sun, C Mei, Z Li, J Zhang, H Yang - Energy Conversion and …, 2023 - Elsevier
Balancing supply and demand constitutes the most important and challenging task in an
isolated microgrid. Accordingly, it is essential to develop an optimization scheduling strategy for …

Multifunctional hydrophilic MXene/Gelatin composite aerogel with vertically aligned channels for efficient sustainable solar water evaporation and Oil/Water separation

N Xue, H Cui, W Dong, W Chu, M Li, H Jiang… - Chemical Engineering …, 2023 - Elsevier
Solar-driven water evaporation has emerged as a sustainable approach for water purification
and desalination, helping to relieve the long-standing water scarcity issues. However, …