LSTM and bat-based RUSBoost approach for electricity theft detection
The electrical losses in power systems are divided into non-technical losses (NTLs) and
technical losses (TLs). NTL is more harmful than TL because it includes electricity theft …
technical losses (TLs). NTL is more harmful than TL because it includes electricity theft …
Applying association rules in the maintenance and reliability of physical systems: A review
This article begins by exploring the fundamental role of descriptive data mining in enhancing
maintenance and reliability across various physical systems. It then provides an in-depth …
maintenance and reliability across various physical systems. It then provides an in-depth …
Detection of power theft in low voltage distribution systems: a review from the Indian perspective
Rampant power theft is a growing concern for power distribution companies as well as the
country's economy at the low voltage consumer end. Power theft including theft of power …
country's economy at the low voltage consumer end. Power theft including theft of power …
Event-driven power outage prediction using collaborative neural networks
AK Onaolapo, RP Carpanen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
An increase in the weather events can result in an increase in the frequency of grid faults,
thereby leading to a decrease in electricity supply reliability. To develop a better …
thereby leading to a decrease in electricity supply reliability. To develop a better …
Data-mining-based identification of post-handover defect association rules in apartment housings
With the increasing expectations of clients and the growing complexity of the built
environment, property management teams are facing constant pressure to effectively …
environment, property management teams are facing constant pressure to effectively …
Evaluation of solar and lunar eclipse impacts on danish power system as a case study
Power systems stability and reliability are two critical issues that are considered in designing
and operational states of the power systems. In addition to the technical failures that can …
and operational states of the power systems. In addition to the technical failures that can …
Decision tree‐based classifiers for root‐cause detection of equipment‐related distribution power system outages
MR Dehbozorgi, M Rastegar… - IET Generation …, 2020 - Wiley Online Library
Recently, power system reliability has been challenged due to the increment of electrical
demand. When an outage occurs, locating the outage may take a long time because of the …
demand. When an outage occurs, locating the outage may take a long time because of the …
Intelligent mining methodology of product field failure data by fusing deep learning and association rules for after-sales service text
Y Liu, S Hu, H Zhang, Q Dong, W Liu - Engineering Applications of Artificial …, 2024 - Elsevier
The after-sales service text contains wealthy field failure data, which can be used to estimate
the field reliability of product and its components. However, human-based data mining …
the field reliability of product and its components. However, human-based data mining …
[PDF][PDF] An ensemble based data mining model for contingency analysis of power system under STLO
In a large, interconnected power system, contingency analysis is a useful tool for pinpointing
the potential consequences of post-event scenarios on the system's safety. In this work, the …
the potential consequences of post-event scenarios on the system's safety. In this work, the …
PowerSkel: A Device-Free Framework Using CSI Signal for Human Skeleton Estimation in Power Station
Safety monitoring of power operations in power stations is crucial for preventing accidents
and ensuring stable power supply. However, conventional methods such as wearable …
and ensuring stable power supply. However, conventional methods such as wearable …