Transition to a sustainable energy environment results in aggregated generator and load
dynamics in the distribution network. State estimation is a key function in building adequate …

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 …

Successful detection of false data injection attacks (FDIAs) is essential for ensuring secure
power grids operation and control. First, this paper extends the approximate dc model to a …

Because distributed generations are extensively integrated into active distribution grids
(ADGs), the transmission and distribution coordinated economic dispatch (TDCED) should …

Reinforcement learning-based schemes are being recently applied for model-free voltage
control in active distribution networks. However, existing reinforcement learning methods …

Energy theft is a notorious problem in electric power systems, which causes great economic
losses and threatens the reliability of the power grid. Recently, the Smart Grid has been …

Real-time state estimation using a digital twin can overcome the lack of in-field
measurements inside an electric feeder to optimize grid services provided by distributed …

Accurate forecasting-aided state estimation plays a vital role in reliable and secure
operation of power systems. However, most of existing methods are unable to deal with the …

This paper describes the application of advanced metering infrastructure data for develo**
energy forecasting and operational planning services in distribution networks with significant …

With the increase of load fluctuations and the integration of stochastic distributed
generations (DGs), there have been more and more research interests in forecasting-aided …