Role of big data analytics in power system Application
RV Angadi, PS Venkataramu… - E3S Web of …, 2020 - e3s-conferences.org
Power system sector is the back bone for any country economic growth. In current years,
electric power systems have experienced various challenges and technological innovations …
electric power systems have experienced various challenges and technological innovations …
Contingency ranking through big data analytics with GIPFC in power system under n-1condition
Power system safety and contingency evaluation are important tasks in the power systems
monitoring. To understand the system, a Generalized Interline Power Flow Controller …
monitoring. To understand the system, a Generalized Interline Power Flow Controller …
Research on standardization of power transformer monitoring and early warning based on multi-source data
W Wenhua, C Rui, C Yu, Z Xu… - Frontiers in Energy …, 2024 - frontiersin.org
To meet the growing demand for integrated monitoring of complex power grid equipment, it
is necessary to improve the situational awareness model of power transformers. The model …
is necessary to improve the situational awareness model of power transformers. The model …
Analysis of power system security using big data and machine learning techniques
Machine learning is one of the important aspects in power system security. The information
gathered through the big data analysis can be vital for learning algorithms. In this paper, the …
gathered through the big data analysis can be vital for learning algorithms. In this paper, the …
Improving the accuracy of clustering electric utility net load data using dynamic time warping
JR Ausmus, PKPK Sen, T Wu… - 2020 IEEE/PES …, 2020 - ieeexplore.ieee.org
Identifying patterns in electric utility net load data in a time-series format is very useful in
preparing the operation for next day. Machine learning algorithms have been used in other …
preparing the operation for next day. Machine learning algorithms have been used in other …
An approach to contingency severity prediction using data analytic techniques in a power system
The effects of a single transmission line failure are discussed, along with how Big Data
Analytics can be used to predict them. The LVSI is used to determine the relative severity of …
Analytics can be used to predict them. The LVSI is used to determine the relative severity of …
Overview of Big Data Analytics in Power Quality Analysis and Assessment
C Bates, J Ausmus, MG Simões… - Proceedings of the 9th …, 2024 - books.google.com
The legacy electric grid is changing at a fast pace and is expected to have high penetration
levels of distributed energy resources (DER) and non-linear loads at the distribution level …
levels of distributed energy resources (DER) and non-linear loads at the distribution level …
Overview of Big Data Analytics in Power Quality Analysis and Assessment
R Siqueira-de-Carvalho, HK Morales-Paredes… - Brazilian Technology …, 2023 - Springer
The legacy electric grid is changing at a fast pace and is expected to have high penetration
levels of distributed energy resources (DER) and non-linear loads at the distribution level …
levels of distributed energy resources (DER) and non-linear loads at the distribution level …
Distribution network planning practices based on the transition toward active distribution networks
P Jaglal, AL Marnewick… - 2023 31st Southern …, 2023 - ieeexplore.ieee.org
Distribution power system networks in South Africa are transitioning from passive to active
which is anticipated to result in several potential impacts concerning traditional practices …
which is anticipated to result in several potential impacts concerning traditional practices …
Einsatz von künstlichen neuronalen Netzwerken bei der Untersuchung von Stahlbetonrahmen mit Mauerwerksausfachung unter Horizontallast
DP Nica - 2023 - repositum.tuwien.at
Stahlbetonskelettkonstruktionen mit Mauerwerkausfachungen erfreuen sich weltweit hoher
Beliebtheit und sind zugleich häufig in erdbebenaktiven Regionen vorzufinden. Aufgrund …
Beliebtheit und sind zugleich häufig in erdbebenaktiven Regionen vorzufinden. Aufgrund …