Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things
In the Internet-of-Things (IoT) era, billions of sensors and devices collect and process data
from the environment, transmit them to cloud centers, and receive feedback via the Internet …
from the environment, transmit them to cloud centers, and receive feedback via the Internet …
Application of big data and machine learning in smart grid, and associated security concerns: A review
This paper conducts a comprehensive study on the application of big data and machine
learning in the electrical power grid introduced through the emergence of the next …
learning in the electrical power grid introduced through the emergence of the next …
Big data analytics in smart grids: a review
Y Zhang, T Huang, EF Bompard - Energy informatics, 2018 - Springer
Data analytics are now playing a more important role in the modern industrial systems.
Driven by the development of information and communication technology, an information …
Driven by the development of information and communication technology, an information …
Faults in smart grid systems: Monitoring, detection and classification
AEL Rivas, T Abrao - Electric Power Systems Research, 2020 - Elsevier
Smart Grid (SG) is a multidisciplinary concept related to the power system update and
improvement. SG implies real-time information with specific communication requirements …
improvement. SG implies real-time information with specific communication requirements …
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 …
enhances a multitude of technical, social, and economic gains. As power grid technologies …
A short-term and high-resolution distribution system load forecasting approach using support vector regression with hybrid parameters optimization
This paper proposes an approach for distribution system load forecasting, which aims to
provide highly accurate short-term load forecasting with high resolution utilizing a support …
provide highly accurate short-term load forecasting with high resolution utilizing a support …
A novel event detection method using PMU data with high precision
To take full advantage of the considerably high reporting rate of phasor measurement units
(PMU) data, this paper develops a novel PMU-based event detection methodology …
(PMU) data, this paper develops a novel PMU-based event detection methodology …
Communication infrastructure for situational awareness enhancement in WAMS with optimal PMU placement
Real time monitoring and control of a modern power system has achieved significant
development since the incorporation of the phasor measurement unit (PMU). Due to the time …
development since the incorporation of the phasor measurement unit (PMU). Due to the time …
A review of system modeling, assessment and operational optimization for integrated energy systems
J Zhao, L Chen, Y Wang, Q Liu - Science China Information Sciences, 2021 - Springer
Building an efficient, safe, and sustainable energy system has been listed as one of the
national energy development strategies in China. Through unified management and …
national energy development strategies in China. Through unified management and …
Data-driven fuel consumption estimation: A multivariate adaptive regression spline approach
Providing guidance and information to drivers to help them make fuel-efficient route choices
remains an important and effective strategy in the near term to reduce fuel consumption from …
remains an important and effective strategy in the near term to reduce fuel consumption from …