Big data analytics in smart grids: state‐of‐the‐art, challenges, opportunities, and future directions

BP Bhattarai, S Paudyal, Y Luo, M Mohanpurkar… - IET Smart …, 2019 - Wiley Online Library
Big data has potential to unlock novel groundbreaking opportunities in power grid that
enhances a multitude of technical, social, and economic gains. As power grid technologies …

Big data issues in smart grid–A review

C Tu, X He, Z Shuai, F Jiang - Renewable and Sustainable Energy …, 2017 - Elsevier
There are both economic and environmental urges for transition from the current outdated
power grid to a sensor-embedded smart grid that monitors system stability, integrates …

Big data for internet of things: a survey

M Ge, H Bangui, B Buhnova - Future generation computer systems, 2018 - Elsevier
With the rapid development of the Internet of Things (IoT), Big Data technologies have
emerged as a critical data analytics tool to bring the knowledge within IoT infrastructures to …

Frequency disturbance event detection based on synchrophasors and deep learning

W Wang, H Yin, C Chen, A Till, W Yao… - … on Smart Grid, 2020 - ieeexplore.ieee.org
Power system frequency disturbances are caused by various generation and transmission
events including generator trips, load disconnections, line trips, etc. Accurate detections of …

Data visualization in internet of things: tools, methodologies, and challenges

A Protopsaltis, P Sarigiannidis, D Margounakis… - Proceedings of the 15th …, 2020 - dl.acm.org
As the Internet of Things (IoT) grows rapidly, huge amounts of wireless sensor networks
emerged monitoring a wide range of infrastructure, in various domains such as healthcare …

A Clarke transformation-based DFT phasor and frequency algorithm for wide frequency range

L Zhan, Y Liu, Y Liu - IEEE Transactions on Smart Grid, 2016 - ieeexplore.ieee.org
Despite its wide applications in power grid monitoring, the classic discrete Fourier transform
(DFT)-based synchrophasor estimation algorithms suffer from significant errors when the …

Tensor-based big data management scheme for dimensionality reduction problem in smart grid systems: SDN perspective

D Kaur, GS Aujla, N Kumar, AY Zomaya… - … on Knowledge and …, 2018 - ieeexplore.ieee.org
Smart grid (SG) is an integration of traditional power grid with advanced information and
communication infrastructure for bidirectional energy flow between grid and end users. A …

A distribution level wide area monitoring system for the electric power grid–FNET/GridEye

Y Liu, S You, W Yao, Y Cui, L Wu, D Zhou, J Zhao… - IEEE …, 2017 - ieeexplore.ieee.org
The wide area monitoring system (WAMS) is considered a pivotal component of future
electric power grids. As a pilot WAMS that has been operated for more than a decade, the …

Data quality issues for synchrophasor applications Part I: a review

C Huang, F Li, D Zhou, J Guo, Z Pan… - Journal of Modern …, 2016 - ieeexplore.ieee.org
Synchrophasor systems, providing low-latency, high-precision, and time-synchronized
measurements to enhance power grid performances, are deployed globally. However, the …

Real-Time Analytics: Challenges and Opportunities

KR Gade - Innovative Computer Sciences Journal, 2018 - innovatesci-publishers.com
Real-time analytics has become an essential tool for businesses looking to harness
immediate insights from their data. With the rapid advancement of technologies, the ability to …