Jingwei Zhang

Hippopotamus optimization based control approach for performance enhancement of photovoltaic systems

Nourhan Ahmed Maged, Hany Mohamed Hasanien, Jingwei Zhang, Zhongbao Wei et autres

Photovoltaic (PV) systems are widely integrated into the conventional power grid. It becomes a fundamental way for the energy landscape. One of the major challenges in deploying these technological resources is the grid’s instability. Therefore, enhancing the control strategy is crucial to …

Égypte, ae, cn, sa (code pays fourni par la source)

Impact of silicon dioxide thickness on mobility of solution-processed metal oxide thin film transistors

Siqing Yuan, Jingwei Zhang, Zhimin Chai, Xinchun Lu

Solution-based process has become an emerging way to fabricate metal oxide thin film transistors (TFTs) owing to its low cost, use of inexpensive equipment, and vacuum-free nature. Silicon oxide wafers are commonly utilized in the solution-based process to evaluate the electrical properties …

cn (code pays fourni par la source)

Hydrodynamics and mass-transfer properties of alkane-water liquid-liquid system in a microchannel

Shunkai Xia, Jingwei Zhang, Haohong Duan, Zhuo Chen et autres

cn (code pays fourni par la source)

ERGMN-based compressed air storage device for power ripple minimization in wind farms

Hany Mohamed Hasanien, Ayedh H. Alqahtani, Haoran Ji, Peng Li et autres

This paper presents an enhanced adaptive algorithm, called enhanced recursive general mixed-norm (ERGMN), to continuously update the proportional-integral (PI) controllers of compressed air storage (CAS) devices, enhancing their power quality and minimizing the power ripple of wind energy systems (WESs). WESs depend …

Égypte, kw, cn, qa (code pays fourni par la source)

Comprehensive Fault Analysis in PV Arrays: From Pre-Diagnosis to Severity Evaluation via Current–Voltage Conversion

Ying Ming Su, Kun Ding, Haifei Wu, Xiang Chen et autres

The novel methodology is developed to achieve accurate and robust fault detection and diagnosis under diverse environmental conditions. The proposed approach utilizes current-voltage (I-V) conversion techniques to eliminating the impacts of environmental variations. First, fault pre-diagnosis is conducted by analyzing the degradation …

cn (code pays fourni par la source)

Frequency transfer and inverse design for metasurface under multi-physics coupling by Euler latent dynamic and data-analytical regularizations

Enze Zhu, Zheng Zong, Erji Li, Yang Lu et autres

Frequency transfer is a key challenge in machine learning as it allows researchers to go beyond in-range analyses of spectrum properties towards out-of-the-range predictions. Traditionally, to predict properties at a specific frequency, targeted spectrum is included in training data for a deep …

cn (code pays fourni par la source)

Crop Yield Time-Series Data Prediction Based on Multiple Hybrid Machine Learning Models

Yueru Yan, Yue Wang, Jialin Li, Jingwei Zhang et autres

Agriculture plays a crucial role in the global economy and social stability, and accurate crop yield prediction is essential for rational planting planning and decision-making. This study focuses on crop yield Time-Series Data prediction. Considering the crucial significance of agriculture in the …

cn, us (code pays fourni par la source)

Crop Yield Time-Series Data Prediction Based on Multiple Hybrid Machine Learning Models

Yueru Yan, Yue Wang, Jialin Li, Jingwei Zhang et autres

Agriculture plays a crucial role in the global economy and social stability, and accurate crop yield prediction is essential for rational planting planning and decision-making. This study focuses on crop yield Time-Series Data prediction. Considering the crucial significance of agriculture in the …

cn, gb, us (code pays fourni par la source)

Crop Yield Time-Series Data Prediction Based on Multiple Hybrid Machine Learning Models

Yueru Yan, Yue Wang, Jialin Li, Jingwei Zhang et autres

Agriculture plays a crucial role in the global economy and social stability, and accurate crop yield prediction is essential for rational planting planning and decision-making. This study focuses on crop yield Time-Series Data prediction. Considering the crucial significance of agriculture in the …

An extensive study on investigating the heterojunction compatibility of novel charge transport materials, defect management and design optimization for high-performance lead-free CsSnl3-based perovskite solar cells

Anees Ur Rehman, Kun Ding, Jingwei Zhang, Xiang Chen

cn (code pays fourni par la source)

Generalized discontinuous PWM strategy for Z-source inverters with switch losses optimization

Yizhan Jiang, Qiang Wang, Fengyou He, Jingwei Zhang et autres

cn (code pays fourni par la source)

Fault Prediagnosis, Type Identification, and Degree Diagnosis Method of the Photovoltaic Array Based on the Current–Voltage Conversion

Xiang Chen, Meng Jiang, Kun Ding, Zenan Yang et autres

The study of fault diagnosis technology is significant for the operation and maintenance of photovoltaic (PV) power plants. A prediagnosis of PV array faults based on current–voltage (I-V) conversion, type identification, and degree diagnosis method is proposed. I-V conversion method is used …

cn, Égypte (code pays fourni par la source)