An Internet of Things'(IoT) connected society and system represents a tremendous paradigm
shift. We present a framework for a decision-support system (DSS) that operates within the …

Coordinated charging of electric vehicles (EVs) improves the overall efficiency of the power
grid as it avoids distribution system overloads, increases power quality, and decreases …

Recently, oil costs and environmental concerns have risen dramatically. Additionally,
growing urbanization, urban mobility, and employment face several difficulties. Develo** …

In this paper, we focus on fault prediction in the smart distribution network. modified version
of voted random forest algorithm (VRF) is proposed for enhancing the predicting accuracy of …

There is a growing interest in applying machine learning methods on large amounts of data
to solve complex problems, such as prediction of events and disturbances in the power …

The ever-increasing demand for renewable sources integration is an actual problem for the
management of modern power grids, especially for what concerns inter-area low-frequency …

The electrical power system is becoming increasingly dynamic and complex. Through the
Green Deal, the European Union (EU) aims at decarbonizing the energy sector, shifting from …

With the advancing integration of fluctuating renewables, a more dynamic demand-side, and
a grid running closer to its operational limits, future power system operators require new …

Predictive monitoring on distributed critical infrastructures (DCI) is the ability to anticipate
events that will likely occur in the DCI before they actually appear, improving the response …

Electricity is becoming increasingly important in modern civilization, and as a result, the
emphasis on and use of power infrastructure is gradually expanding. Simultaneously …