Population growth, economic development, and rapid urbanization in many areas have led
to increased exposure and vulnerability of structural and infrastructure systems to hazards …

Ensemble methods use multiple models to get better performance. Ensemble methods have
been used in multiple research fields such as computational intelligence, statistics and …

The new generation of artificial intelligence (AI), called AI 2.0, has recently become a
research focus. Data‐driven AI 2.0 will accelerate the development of smart energy and …

The integration of power electronics enabled devices and the high penetration of renewable
energy drastically increase the complexity of power system operation and control. Power …

Power outages caused by extreme weather events cost the economy of the United States
billions of dollars every year and endanger the lives of the people affected by them. These …

Accurate and reliable low-voltage load forecasting is critical to optimal operation and control
of distribution network and smart grid. However, compared to traditional regional load …

Railway turnout systems are one of the most critical elements in railway infrastructure. They
are also one of the most vulnerable assets that are likely to be affected by the adverse …

Wind-caused floater intrusion has posed enormous threats to the safety and resilience of
overhead contact lines (OCLs) of electrified railway. In this paper, a Bayesian neural network …

Any effective smart city application proposal must consider both the technological and policy
challenges to be optimally beneficial to the city; and not only in functioning of the narrow …

This paper addresses the problem of predicting duration of unplanned power outages, using
historical outage records to train a series of neural network predictors. The initial duration …