A microgrid, regarded as one of the cornerstones of the future smart grid, uses distributed
generations and information technology to create a widely distributed automated energy …

Accurate wind speed forecasting is crucial for efficiently integrating of wind power into the
electrical grid and ensuring a stable power supply. However, wind speed is inherently noisy …

This paper introduces a novel mixed integer programming (MIP) reformulation for the joint
chance-constrained optimal power flow problem under uncertain load and renewable …

This paper presents a method for selecting pilot points used in secondary voltage control of
active distribution networks. A unique formulation for pilot point selection is presented as a …

The problem of online change point detection is to detect abrupt changes in properties of
time series, ideally as soon as possible after those changes occur. Existing work on online …

The deployment of advanced information and communication technologies necessitates
considering new security threats, such as distributed denial of service attacks and malware …

This study proposes an energy management framework for community microgrids to
produce energy at a reduced cost with high reliability. The techno-economic benefits of the …

In recent years, the threat of bushfires in Australia has evolved at an unprecedented rate.
With this comes increasing concerns from authorities and operators surrounding the impact …

The 2019-20 Australia bushfire incurred numerous economic losses and significantly
affected the operations of power systems. A power station or transmission line can be …

Load forecasting methods, including statistical models and conventional machine learning
techniques, often face nonstationary and volatile grid load data challenges, leading to …