Renewable energy, especially wind power, is a practicable and promising solution to
mitigate the existing dilemma associated with climate change. Efficient and accurate …

The development of modern power systems is directly related to changes in the traditional
principles of management, planning, and monitoring of electrical modes. The mass …

This article presents a use-inspired perspective of the opportunities and challenges in a
massively digitized power grid. It argues that the intricate interplay of data availability …

The future of energy flexibility in microgrids (MGs) is steering towards a highly granular
control of the end-user customers. This calls for more highly accurate uncertainty forecasting …

The study examines the development and testing of algorithms for disturbance inception
time estimation in a power system using instantaneous values of current and voltage with a …

Monitoring the smart grid involves analyzing continuous data-stream from various
measurement devices deployed throughout the system, which are topologically distributed …

Passenger flow anomaly detection in urban rail transit networks (URTNs) is critical in
managing surging demand and informing effective operations planning and controls in the …

Most of the existing large-scale high-dimensional streaming anomaly detection methods
suffer from extremely high time and space complexity. Moreover, these models are very …

Real-time situational awareness and event analysis are crucial to the security of the modern
power grid, which is a complicated nonlinear system and hard to be completely modeled …

The electric grid operation is constantly threatened with natural disasters and cyber
intrusions. The introduction of Internet of Things (IoT)-based distributed energy resources …