Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things

J Zhang, D Tao - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
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 …

Application of big data and machine learning in smart grid, and associated security concerns: A review

E Hossain, I Khan, F Un-Noor, SS Sikander… - Ieee …, 2019 - ieeexplore.ieee.org
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 …

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 …

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 …

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 …

A short-term and high-resolution distribution system load forecasting approach using support vector regression with hybrid parameters optimization

H Jiang, Y Zhang, E Muljadi, JJ Zhang… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
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 …

A novel event detection method using PMU data with high precision

M Cui, J Wang, J Tan, AR Florita… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
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 …

Communication infrastructure for situational awareness enhancement in WAMS with optimal PMU placement

B Appasani, AV Jha, SK Mishra… - Protection and control …, 2021 - ieeexplore.ieee.org
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 …

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 …

Data-driven fuel consumption estimation: A multivariate adaptive regression spline approach

Y Chen, L Zhu, J Gonder, S Young… - … Research Part C …, 2017 - Elsevier
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 …