In the field of power grid analysis, particularly in distribution systems, solving the power flow problem is fundamental for grid planning and operational decision-making. Traditionally, methods rely on iterative techniques and sparse linear solvers to find solutions. However, these approaches can be computationally intensive, require careful initialization,...

Image processing systems gather and convey information using image sensors enabling a variety of IoT and mobile applications. IoT systems utilize image sensors to perform a multitude of various tasks that are important in all aspects of life such as detecting wildfires in forests, lifesaving medical imaging and reality headsets that use body tracking....

The real-time operation and control of distribution systems has not been significantly automated due to limitation of communication infrastructure, real-time monitoring, and operational scheduling tools. Also, the energy democracy movement is resulting in more and more penetration of energy resources in electric distribution systems. With increasing...

­Background Electric power utilities have started using phasor measurement units (PMUs) to obtain time-synchronized measurements of the voltage and current magnitudes and phase angles, frequency, and rate-of-change frequency (RoCoF) throughout their systems. However, there are still several key measurements that PMUs are unable to provide. In particular,...

Background High impedance fault (HIF) normally occur in distribution power systems with voltages ranging from 4 kV to 34.5 kV, and are caused by downed or disturbed conductors. An HIF may present a hazard to public safety in the immediate vicinity. Unfortunately, HIFs cannot always be recorded in the fault report to relay engineers and are thus susceptible...

Wind turbines are becoming an increasingly common source for energy, yet they can only generate output energy based on the current wind speed causing uncertainty during power system operation. To manage with this uncertainty wind power forecasts are used to predict energy output using statistical models and meteorological data. Statistical models are...