Fusion of PMU and SCADA Data for dynamic state estimation of power system

By Malini Ghosal, Vittal S. Rao. 2015

15 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering, Electrical and Electronic Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Wenxiu Ding
2. Zheng Yan
3. Xuyang Jing
4. Laurence Tianruo Yang
5. Vittal S. Rao
6. Malini Ghosal

In Control and Systems Engineering

1. Zheng Yan
2. Wenxiu Ding
3. Xuyang Jing
4. Laurence Tianruo Yang
5. Vittal S. Rao
6. Malini Ghosal

In Electrical and Electronic Engineering

1. Zheng Yan
2. Wenxiu Ding
3. Xuyang Jing
4. Laurence Tianruo Yang
5. Vittal S. Rao
6. Malini Ghosal

Citations in the corpus

• A survey on data fusion in internet of things: Towards secure and privacy-preserving fusion (2019, methodology): “AC CE PT ED M AN US CR IP T some hybrid data fusion [101] in smart grid has been proposed, it only supports the data fusion over two sets of data and its performance is highly related to data types.”
• Fusion of Multirate Measurements for Nonlinear Dynamic State Estimation of the Power Systems (2019, methodology): “However, the treatment of multi-rate sensor processing has not been explored extensively [22] for nonlinear PSDSE.”