Uncertainty and imprecision accompany the world we live in and occur in almost every
event. How to better interpret and manage uncertainty and imprecision play a vital role in …

Consensus reaching is an iterative and dynamic process that supports group decision-
making models by guiding decision-makers towards modifying their opinions through a …

This paper investigates the problem of false data injection attack (FDIA) detection in
microgrids. The grid under study is a DC microgrid with distributed boost converters, where …

With the rapid development of artificial intelligence (AI), AI has been widely applied in
anomaly analysis detection and fault location in power grid data and has made significant …

The transmission line is crucial in the electrical system. Transmission lines allow energy to
be transmitted As the world's demand for power has grown considerably in recent years …

Non-contact three-phase instantaneous voltage measurement is an emerging and
challenging topic in modern smart grids. Existing measurement methods can hardly obtain …

Quality of data and complexity of decision boundaries in high-dimensional data streams that
are collected from cyber-physical power systems can greatly influence the process of …

This work proposes a fault detection and classification method using spectral entropy and
IDCNN. The proposed method uses one end current signals for analyzing the fault and no …

Group Decision-Making is a process by which a set of experts sort a set of alternatives.
When there are a large number of experts, the process is called a Large-Scale Group …

With the expansion of power grids and incorporation of new energy sources, fault and attack
detection in power monitoring systems has become increasingly vital for maintaining grid …