Zhao-Hui Wang
The combined operation of concentrating solar power (CSP) and photovoltaic (PV) is an effective way to reduce the curtailment of solar power generation. A distributed robust unit commitment
mzanzipestcontrol
Hui Wang Jun Zhou We reported an bio-inspired ionic skin with high stretchability (>1700%), transparency (>80%) and sensitivity (2 kPa-1) that were promising as ideal sensors for stably
Simultaneous Solar Steam and Electricity Generation from
Herein, the com-bination of a thermogalvanic cell (TGC) and reverse electrodialysis (RED) in solar-driven interfacial evaporation is proposed to extract energy from temperature and salinity...
Meng Hui Wang | ScienceDirect
This study focuses on analyzing common fault types in photovoltaic (PV) modules, employing fault diagnosis methods based on machine learning technology to enhance the accuracy and efficiency of
Achieving wind power and photovoltaic power prediction: An intelligent
In this paper, real data from wind power plants and photovoltaic power plants in China are used as experimental objects, and experiments are carried out in three aspects, namely, benchmark model
Wang Hui | IEEE Xplore Author Details
The virtual simulation experimental teaching center of the rural intelligent distribution network and the distributed power, Shenyang Agricultural University, Shenyang
Hui Wang | IEEE Xplore Author Details
Hui Wang | IEEE Xplore Author Details. Affiliation. Changchun Institute of Technology School of Electrical Engineering and Information Technology, Changchun, China. Publication Topics.
Hui Wang''s research works | North China Electric Power University
Hui Wang''s 3 research works with 3 citations and 35 reads, including: Experimental study of particle deposition on a solar photovoltaic panel based on the response surface method
4MW Rooftop Distributed Power Station in Fengxian District, Shanghai
Distributed Commercial Solutions Household PV Solutions Carbon Free Power Plant BESS Solutions Global Project References Sustainability Upholding Our Purpose Fulfilling Our Commitments
Short-Term Photovoltaic Power Forecasting Based on a Feature Rise
This paper proposes a short-term PV power forecasting method using K-means clustering, ensemble learning (EL), a feature rise-dimensional (FRD) approach, and quantile regression (QR) to