On machine learning-based techniques for future sustainable and resilient energy systems

J Wang, P Pinson, S Chatzivasileiadis… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Permanently increasing penetration of converter-interfaced generation and renewable
energy sources (RESs) makes modern electrical power systems more vulnerable to low …

Management of resilient urban integrated energy system: State-of-the-art and future directions

R Hu, K Zhou, J Yang, H Yin - Journal of Environmental Management, 2024 - Elsevier
The urban integrated energy system (UIES) is the fundamental infrastructure supporting the
operation of resilient cities. The resilience of UIES plays a critical role in effectively …

Determination of effective management strategies for scenic area emergencies using association rule mining

Y Shi, B Wu, N Chen, A Chen, J Li, H Li - International Journal of Disaster …, 2019 - Elsevier
Appropriately handling unexpected events during the construction, development, and
operation stages of scenic areas and ensuring the personal and property safety of tourists …

Outage cause detection in power distribution systems based on data mining

MS Bashkari, A Sami… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Realizing the factors involved in power system outages can be effective in reliability
improvement. In this article, we analyze the distribution power network outage data to find …

Discovering causality patterns of unsafe behavior leading to fall hazards on construction sites

M Mohajeri, A Ardeshir, MT Banki… - International Journal of …, 2022 - Taylor & Francis
Unsafe behavior as a direct cause accounts for some 80% of accidents in the construction
industry. While numerous studies have investigated the factors that influence unsafe …

Knowledge discovery using an enhanced latent Dirichlet allocation-based clustering method for solving on-site assembly problems

W Ning, J Liu, H Xiong - Robotics and Computer-Integrated Manufacturing, 2022 - Elsevier
Prompt responses to problems/faults arising in an assembly workshop are crucial in terms of
production reliability and efficiency. However, human-dependent tasks are time-consuming …

A fault analysis method based on association rule mining for distribution terminal unit

X Zhang, Y Tang, Q Liu, G Liu, X Ning, J Chen - Applied Sciences, 2021 - mdpi.com
With the development of distribution networks, large amounts of distribution terminal units
(DTU) are gradually integrated into the power system. However, limited numbers of …

Association analysis-based cybersecurity risk assessment for industrial control systems

Y Qin, Y Peng, K Huang, C Zhou… - IEEE Systems Journal, 2020 - ieeexplore.ieee.org
With the adoption of various information and communication technologies and commercial
off-the-shelf components, industrial control systems (ICSs) become highly vulnerable to …

A multi-model-integration-based prediction methodology for the spatiotemporal distribution of vulnerabilities in integrated energy systems under the multi-type …

C Sun, Z Zhou, X Zeng, Z Li, Y Wang, F Deng - Applied Energy, 2022 - Elsevier
The reliability of an integrated energy system (IES) is most likely menaced by its weakest
spots, and hence the prediction-based maintenance (PBM) is deployed to forecast these …

Association rule mining based parameter adaptive strategy for differential evolution algorithms

C Wang, Y Liu, Q Zhang, H Guo, X Liang… - Expert Systems with …, 2019 - Elsevier
It is a very challenging and important task to adaptively adjust the scale factor F and the
crossover rate Cr for Differential Evolutionary (DE) algorithms. Most recent adaptive …