The art of estimating future values of a random process, based upon previously observed or
estimated values, is usually known as a priori estimation, prediction, or forecasting. Power …

State estimation (SE) is an important element of power network analysis applications
implemented at control centres, being instrumental in providing reliable data on the system …

This paper is the second part of a two-part paper addressing power system forecasting-
aided state estimation. Part I presented a comprehensive survey on the subject, including …

A new method for topology identification, bad data detection and state estimation (SE) is
proposed in this paper. The method utilizes fuzzy clustering and pattern matching for this …

State estimation is crucial in the development of adequate network models for power system
monitoring and analysis. It is the computing of the nearest estimation of the nodal voltage …

This paper contributes to the literature on topology identification (TI) in distribution networks
and, in particular, on change detection in switching devices' status. The lack of …

This paper deals with the problem of including detailed substation models in state estimators
so that topological errors and/or bad internal data can be detected and identified. Instead of …

In this work an artificial neural network based methodology is proposed for power systems
fault location. Several artificial neural networks are employed, each of them being …

Power system state estimation is a primary and major method for monitoring power grids in
real time. Massive synchrophasor data contains temporal correlations and spatial …

This paper presents an intelligent search strategy for the conforming bad data errors
identification in the generalized power system state estimation, by using the tabu search …