Unequal spacing in dynamic panel data: Identification and estimation
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Econometrics"
DOI: 10.1016/j.jeconom.2016.10.002
Abstract: We propose conditions under which parameters of fixed-effect dynamic models are identified with unequally spaced panel data. Under predeterminedness, weak stationarity, and empirically testable rank conditions, AR(1) parameters are identified given the availability of “two… read more here.
Keywords: panel data; spacing dynamic; dynamic panel; panel ... See more keywords
A Highly Efficient Bad Data Identification Approach for Very Large Scale Power Systems
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Power Systems"
DOI: 10.1109/tpwrs.2018.2826980
Abstract: The well-known largest normalized residual (LNR) test for bad data identification becomes computationally inefficient for large-scale power systems containing a large volume of bad data, given the fact that it identifies and removes bad measurements… read more here.
Keywords: power systems; bad data; lnr test; data identification ... See more keywords
A mobile edge computing-focused transferable sensitive data identification method based on product quantization
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Cloud Computing"
DOI: 10.1186/s13677-024-00662-4
Abstract: Sensitive data identification represents the initial and crucial step in safeguarding sensitive information. With the ongoing evolution of the industrial internet, including its interconnectivity across various sectors like the electric power industry, the potential for… read more here.
Keywords: product quantization; sensitive data; data identification; identification ... See more keywords
Health Data Re-Identification: Assessing Adversaries and Potential Harms
Sign Up to like & getrecommendations! Published in 2024 at "Studies in health technology and informatics"
DOI: 10.3233/shti240626
Abstract: Sharing biomedical data for research can help to improve disease understanding and support the development of preventive, diagnostic, and therapeutic methods. However, it is vital to balance the amount of data shared and the sharing… read more here.
Keywords: potential harms; identification; identification assessing; health ... See more keywords
Bad data identification method considering the on-load tap changer model
Sign Up to like & getrecommendations! Published in 2024 at "Frontiers in Energy Research"
DOI: 10.3389/fenrg.2024.1478834
Abstract: With the connection and integration of renewable energy, the on-load tap-changer (OLTC) has become an important device for regulating voltage in distribution networks. However, due to non-smooth and non-linear characteristics of OLTC, traditional bad data… read more here.
Keywords: bad data; model; load tap; data identification ... See more keywords