The application of big data in the energy sector is considered as one of the main elements of
Energy Internet. Crucial and promising challenges exist especially with the integration of …

This paper provides a survey of big data analytics applications and associated
implementation issues. The emphasis is placed on applications that are novel and have …

This study presents a screening-level analysis of the impacts of climate change on electricity
transmission and distribution infrastructure of the US In particular, the model identifies …

Electric grids are vulnerable to the impacts of extreme weather. Utility companies face the
necessity to reduce the number of power outages caused by weather. This paper expands …

This paper describes the implementation of a prediction model for real-time assessment of
weather related outages in the electric transmission system. The network data and historical …

The paper proposes a novel approach for the outage State of Risk (SoR) assessment
caused by weather and vegetation in the distribution grid. Machine Learning prediction …

This paper proposes statistical analyses of realworld power system outages to advance our
knowledge regarding the power system outages and weather extremes characteristics and …

This paper discusses how the risk of electricity grid outages is predicted using machine
learning on historical data enhanced by graph embeddings of the distribution network. The …

An approach for reaching the net-zero carbon electricity grid is to intensify the deployment of
distributed renewable generation resources such as photovoltaic (PV) solar and wind …

Power systems and their primary components, mostly the transmission and distribution of
overhead lines, substations, and other power facilities, are distributed in space and are …