State estimation (SE) is well-established at the transmission system level of the electricity
grid, where it has been in use for the last few decades and is a most vital component of …

This study investigates the estimation of daily solar radiation (SR) through various machine
learning (ML) models, including the k-nearest neighbor algorithm (KNN), support vector …

This paper provides a survey of techniques for state estimation in electric power distribution
systems. While state estimation has been applied in the monitoring and control of electricity …

The Largest Normalized Residual Test (LNRT) has been widely utilized in commercial
Power System State Estimation (PSSE) software for bad data identification. The LNRT has …

Many large cities have their hybrid transmission and distribution networks, while
traditionally, transmission and distribution state estimators are studied and developed …

The SE (state estimation) is an essential part of future smart grid for estimating its running
state based on meter measurements. While it has been presented that the attacker can …

Bad data as a result of measurement errors in secondary substation (SS) monitoring
equipment is difficult to detect and negatively affects power system state estimation …

This paper presents a three-phase state estimation method for distribution network which
can accommodate large number ampere measurements and voltage measurements. In this …

Power system state estimation (PSSE) is a control center application that comprises a
collection of algorithms aimed at providing essential information about the current operating …

This paper focuses on State Estimation (SE) process on transmission network and
distribution network. State estimation obtains laudable data from the raw data supplied by …