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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …