TCIC_FS: Total correlation information coefficient-based feature selection method for high-dimensional data
P Qiu, Z Niu - Knowledge-Based Systems, 2021 - Elsevier
High-dimensional data have been a challenging problem in classification. Feature selection
works as a filter to remove irrelevant or redundant features and has made comparative …
works as a filter to remove irrelevant or redundant features and has made comparative …
Discriminative Signal Recognition for Transient Stability Assessment via Discrete Mutual Information Approximation and Eigen Decomposition of Laplacian Matrix
Transient stability assessment (TSA) is of great significance for the security of power
systems. The widely studied postfault TSA based on machine learning methods relies on …
systems. The widely studied postfault TSA based on machine learning methods relies on …
Review of data-driven techniques for on-line static and dynamic security assessment of modern power systems
The secure operation of the transmission grid is of primary importance for any power system
operator. However, the introduction of new technologies, market deregulation, and …
operator. However, the introduction of new technologies, market deregulation, and …
Wind Power Forecasting Based on WaveNet and Multitask Learning
Accurately predicting the power output of wind turbines is crucial for ensuring the reliable
and efficient operation of large-scale power systems. To address the inherent limitations of …
and efficient operation of large-scale power systems. To address the inherent limitations of …
[HTML][HTML] An optimized algorithm for optimal power flow based on deep learning
With the increasing requirements for power system transient stability assessment, the
research on power system transient stability assessment theory and methods requires not …
research on power system transient stability assessment theory and methods requires not …
[PDF][PDF] Synchrophasor-Driven Machine Learning Application for Enhanced Power System Stability Monitoring: A Comprehensive Review
K Samad, A Patil, KS Satyapal… - SSRG Int. J. Electr …, 2024 - researchgate.net
The continuous increase in complexity and nature of loads in a power system has given rise
to unknown inevitable risks hidden from the Power System Operator (PSOs). All the electric …
to unknown inevitable risks hidden from the Power System Operator (PSOs). All the electric …
An optimal deep belief with buffalo optimization algorithm for fault detection and power loss in grid-connected system
The recent increase in photovoltaic (PV) power generation and its extensive use worldwide
has led to the development of complex distributed generation systems, which has caused an …
has led to the development of complex distributed generation systems, which has caused an …
图像化数据驱动的电力系统暂态稳定性在线评估方法
彭鑫， 刘俊， 刘嘉诚， 李雨婷， 刘晓明， 赵誉 - 智慧电力, 2022 - epjournal.csee.org.cn
目前电力系统暂态稳定性评估(TSA) 大多采用标准算例生成的数据集, 然而实际电网的母线,
发电机, 线路等电力元件的数量巨大, 难以实现评估模型的实时监视和在线更新; …
发电机, 线路等电力元件的数量巨大, 难以实现评估模型的实时监视和在线更新; …
Design and Experimental Study of Shape Memory Alloy and Piezoelectric Composite Power Generation Device
F Yang, Y Shi, J Liu, Z Wang, X Tian - Micromachines, 2023 - mdpi.com
In order to solve the problem of ineffective utilization of waste heat generated by energy
consumption in industrial production and life, a low-frequency thermal energy conversion …
consumption in industrial production and life, a low-frequency thermal energy conversion …
Data-driven risk assessment early-warning model for power system transmission congestions
With the continuous development of renewable energy in modern power systems, the
balance between the power supply and demand side become more volatile, which may …
balance between the power supply and demand side become more volatile, which may …