An intelligent power grid emergency allocation technology considering secondary disaster and public opinion under typhoon disaster

W Wu, H Hou, S Zhu, Q Liu, R Wei, H He, L Wang… - Applied Energy, 2024 - Elsevier
Typhoon disaster may not only cause power outage physically, but also breed negative
sentiments in public opinion and affect social stability. Therefore, an intelligent power grid …

An adaptive nested dynamic downscaling strategy of wind-field for real-time risk forecast of power transmission systems during tropical cyclones

X Huang, N Wang - Reliability Engineering & System Safety, 2024 - Elsevier
High winds from tropical cyclones can cause significant damages to power transmission
system and lead to widespread power outages resulting in tangible socio-economic losses …

Research and application of a novel selective stacking ensemble model based on error compensation and parameter optimization for AQI prediction

T Peng, J Xiong, K Sun, S Qian, Z Tao, MS Nazir… - Environmental …, 2024 - Elsevier
With the ongoing process of industrialization, the issue of declining air quality is increasingly
becoming a critical concern. Accurate prediction of the Air Quality Index (AQI), considered as …

Integrating Structural Vulnerability Analysis and Data-Driven Machine Learning to Evaluate Storm Impacts on The Power Grid

PL Watson, W Hughes, D Cerrai, W Zhang… - IEEE …, 2024 - ieeexplore.ieee.org
The complex interactions between the weather, the environment, and electrical infrastructure
that result in power outages are not fully understood, but because of the threat of climate …

TC-Diffusion: A diffusion-based probabilistic tropical cyclone model with application to typhoon wind hazard assessment

W Jiang, X Zhong, J Zhang - Reliability Engineering & System Safety, 2024 - Elsevier
This paper introduces TC-Diffusion, a novel probabilistic tropical cyclone (TC) full track
simulation method empowered by the diffusion generative model. Leveraging diffusion's …

Assessing grid hardening strategies to improve power system performance during storms using a hybrid mechanistic-machine learning outage prediction model

W Hughes, PL Watson, D Cerrai, X Zhang… - Reliability Engineering & …, 2024 - Elsevier
Improvements of power system performance during severe weather events are targeted
through grid hardening actions, such as strengthening aging infrastructure or performing …

Quality prediction for magnetic pulse crimping cable joints based on 3D vision and ensemble learning

M Lai, S Wang, H Jiang, J Cui, G Li - Computers in Industry, 2024 - Elsevier
Magnetic pulse crimping (MPC) addresses the limitations of conventional hydraulic crimping
in cable joint applications. However, the lack of dependable detection methods presents a …

Intelligent regional subsurface prediction based on limited borehole data and interpretability stacking technique of ensemble learning

J Bai, S Wang, Q Xu, J Zhu, Z Li, K Lai, X Liu… - Bulletin of Engineering …, 2024 - Springer
This study introduces an intelligent method for regional subsurface prediction using a
Stacking ensemble learning approach, which incorporates K-Nearest Neighbors (KNN) …

[HTML][HTML] Machine Learning Model Development to Predict Power Outage Duration (POD): A Case Study for Electric Utilities

B Ghasemkhani, RA Kut, R Yilmaz… - Sensors (Basel …, 2024 - ncbi.nlm.nih.gov
In the face of increasing climate variability and the complexities of modern power grids,
managing power outages in electric utilities has emerged as a critical challenge. This paper …

Research of Outage Duration Prediction Based on CNN-SVR Under Gray Wolf Optimization

Q Chengfei, L Yan, B Chaoran, Z Shi… - 2023 2nd Asia …, 2023 - ieeexplore.ieee.org
The outage duration prediction can improve utility decision-making practices and enhance
restoration management procedures for electric utilities. For the purpose of precise outage …