Despite widespread adoption and outstanding performance, machine learning models are
considered as “black boxes”, since it is very difficult to understand how such models operate …

Artificial intelligence techniques lead to data-driven energy services in distribution power
systems by extracting value from the data generated by the deployed metering and sensing …

大力发展风电, 光伏等可再生能源是实现电力系统低碳转型的重要途径. 由于可再生能源出力
具有波动性与不确定性, 为应对大规模可再生能源并网给电力系统长期规划带来的挑战 …

With the rapid growth of power systems measurements in terms of size and complexity,
discovering statistical patterns for a large variety of real-world applications such as …

Newer generation sources and loads are posing new challenges to the conventional power
system protection schemes. Adaptive and intelligent protection methodology, based on …

Predictive maintenance is an essential aspect of microgrid operations as it enables
identifying potential equipment failures in advance, reducing downtime, and increasing the …

The high penetration of distributed energy resources, especially weather-dependent
sources, even at the edge of the distribution grids, has increased the power system …

In today's era, transition of the conventional power grid towards smart grid is taking place by
Wide Area Measurement system's real time monitoring protection and control …

Power system failures or outages due to short-circuits or “faults” can result in long service
interruptions leading to significant socio-economic consequences. It is critical for electrical …

The growing integration of high-wattage Internet of Things (IoT)-enabled electrical
appliances at the consumer end has created a new attack surface that an adversary can …