Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Detection of ultra-low concentration NH3, SO2, and NO using UV-DOAS combined with multidimensional spectral fusion
F **e, Y Wu, J Gao, M Li, R Zhu, X Wu, Y Zhang - Fuel, 2024 - Elsevier
Since nitric oxide (NO), sulfur dioxide (SO 2), and ammonia (NH 3) in flue gas cause severe
air pollution, accurate measurements of their concentrations are crucial for optimizing the …
air pollution, accurate measurements of their concentrations are crucial for optimizing the …
Recent Advances in Power Quality Analysis and Robust Control of Renewable Energy Sources in Power Grids
D Vukadinović - Energies, 2024 - mdpi.com
In modern power grids with a large share of distributed power production, achieving high-
power quality is a challenging task. The integration of renewable energy sources (RES) into …
power quality is a challenging task. The integration of renewable energy sources (RES) into …
AI Applications for Power Quality Issues in Distribution Systems: A Systematic Review
The integration of distributed generation (DG), renewable energy sources (RES), and power
electronic converters into distribution systems (DSs) has introduced significant power quality …
electronic converters into distribution systems (DSs) has introduced significant power quality …
Sample-by-sample power quality disturbance classification based on sliding window recursive discrete fourier transform
Abstract Power Quality Disturbances (PQDs) are caused by large-scale grid connections of
nonlinear loads and Distributed Generations (DG). They affect the electrical and electronics …
nonlinear loads and Distributed Generations (DG). They affect the electrical and electronics …
[HTML][HTML] Anomaly Detection for Power Quality Analysis Using Smart Metering Systems
The problem of Power Quality analysis is becoming crucial to ensuring the proper
functioning of complex systems and big plants. In this regard, it is essential to rapidly detect …
functioning of complex systems and big plants. In this regard, it is essential to rapidly detect …
[HTML][HTML] An Ensemble Deep CNN Approach for Power Quality Disturbance Classification: A Technological Route Towards Smart Cities Using Image-Based Transfer
The abundance of powered semiconductor devices has increased with the introduction of
renewable energy sources into the grid, causing power quality disturbances (PQDs). This …
renewable energy sources into the grid, causing power quality disturbances (PQDs). This …
Classification of offshore wind grid-connected power quality disturbances based on fast S-transform and CPO-optimized convolutional neural network
M Tang, H Wang, J Qiu, Z Tao, T Yang - PloS one, 2024 - journals.plos.org
The large-scale integration of offshore wind power into the power grid has brought serious
challenges to the power system power quality. Aiming at the problem of power quality …
challenges to the power system power quality. Aiming at the problem of power quality …
Classification of power quality disturbances in microgrids using a multi-level global convolutional neural network and SDTransformer approach
J Jiang, H Wu, C Zhong, H Song - PloS one, 2025 - journals.plos.org
As the adoption of new energy sources like photovoltaic and wind power increases
alongside the influx of advanced power electronic devices, there has been a significant rise …
alongside the influx of advanced power electronic devices, there has been a significant rise …
Power Quality Disturbance Identification Based on Improved Kaiser Window S-Transform and GRU Neural Network
B Shao, J Duan, Y Li, P Zhang, L Wang… - International Conference of …, 2024 - Springer
The access of a large number of nonlinear loads and distributed energy sources has
brought the problem of multiple composite disturbances and strong feature correlation of …
brought the problem of multiple composite disturbances and strong feature correlation of …