Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …

Microgrids are considered as a potential solution to deal with major power disruption events
due to their ability of islanding and potential to sustain the penetration of renewables. In …

The frequency of extreme events (eg, hurricanes, earthquakes, and floods) and man-made
attacks (cyber and physical attacks) has increased dramatically in recent years. These …

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

With the rise of the resilience concept, scholars and practitioners have paid increasing
attention to resilient city, which has become a new means of coping with hazards. As the …

Severe weather-induced power outages affect millions of people and cost billions of dollars
of economic losses each year. The National Association of Regulatory Utility Commissioners …

We propose a three-stage resilient unit commitment model which considers uncertain
typhoon paths and line outages to improve the power system resilience against typhoon …

Distribution system resilience is an emerging topic of interest given an increasing number of
extreme events and adverse impacts on the power grid (eg Hurricane Maria and Ukraine …

Accurate forecasting of peak electricity load has long been an active area of research in
electricity markets, and power systems planning and operation. Unanticipated climate …

This research proposes a data-driven approach to identify possible disparities in a utility's
outage management practices. The approach has been illustrated for an Investor-Owned …