A problem facing the product development community is developing simultaneous solutions
of response variables (to several properties) that depends on a number of independent …

This paper presents a three-phase Distribution System State Estimator (DSSE) based on a
Bayesian inference approach to manage different sampling rates of typical sources of …

This paper develops a novel approach to track power system state evolution based on the
maximum correntropy criterion, due to its robustness against non-Gaussian errors. It …

This paper presents a novel approach for bad data correction in state estimation (SE) for
three-phase distribution systems. Based on an optimization model, a SE technique is …

One of the primary challenges in solving the State Estimation (SE) problem in low voltage
networks is the presence of Gross Errors (GE). If the SE model fails to accurately estimate …

The paper provides the theoretical proof of earlier published experimental evidence of the
favorable properties of a new method for State Estimation–the Generalized Correntropy …

This study aimed to identify the research gaps in Metaheuristics, taking into account the
publications entered in a database in 2015 and to present a case study of a company in the …

This study introduces a robust orthogonal implementation for a new class of information
theory‐based state estimation algorithms that rely on the maximum correntropy criterion …

Abstract Classical Weighted Least Squares (WLS) is a well-known and broadly applicable
method in many state estimation problems. In power system networks, WLS is particularly …

Power systems rely on a broad set of information and sensors to maintain reliable and
secure operation. Proper processing of such information, to guarantee the integrity of power …