Low-latency data processing is essential for wide-area monitoring of smart grids. Distributed
and local data processing is a promising approach for enabling low-latency requirements …

A machine learning‐based detection framework is proposed to detect a class of cyber‐
attacks that redistribute loads by modifying measurements. The detection framework …

The primary objective of this paper is to propose the two new combined approaches based
on Feed-Forward and Long Short-Term Memory Neural Network models for Power System …

In distribution system state estimation (DSSE), the physics-based approach such as the
weighted least squares (WLS) technique suffers from convergence issues, whereas the …

Reliable operation of modern power systems is ensured by an intelligent cyber layer that
monitors and controls the physical system. The data collection and transmission is achieved …

Network embedding plays an important role in various real-world applications. Most
traditional algorithms focus on the topological structure while ignore the information from …

Effective load dispatch is considered to be an optimization effort taken on routine basis
essential for the grid's functionality. In order to meet demand for electricity while minimizing …

Wide area situational awareness (WASA) in smart grids includes automatic monitoring,
perception and detection of anomalies in these systems. The goal of WASA is to make smart …

Toprağın yapısına ve bitki türüne göre yeterli miktarda sulama suyunun iletilmesine ve buna
karşılık daha ölçülü bir yaklaşımla ücretlendirme yapılmasını sağlamak için akan suyun …

Identifying radio anomalies is one of the main purposes of radio monitoring. The current
radio anomaly signal identification is mainly finished manually by the radiops, using …