Recent severe power outages caused by extreme weather hazards have highlighted the
importance and urgency of improving the resilience of the electric power grid. As the …

The energy industry is experiencing a major change due to fast progress in artificial
intelligence (AI). Startup companies in this revolution use AI technologies like Machine …

Component fault detection and inventory are one of the most significant bottlenecks facing
the electricity transmission and distribution utility establishments especially in developing …

Electric power transmission lines are essential assets, and their maintenance is crucial to
ensure a reliable service to society. However, with thousands of kilometers along the …

In many countries, electricity prices on day-ahead auction markets result from a market
clearing designed to maximize social welfare. For each hour of the day, the market price can …

Power flows in transmission networks are driven by the structure of the network and the
spatial distribution of generators and loads. Understanding the interplay between grid …

Increasing reliance on uninterrupted electricity supply against emerging threats such as
climate change and cyberattacks calls for higher resilience of societies against power …

Natural events have been identified as one of the major causes of cascading faults on the
electricity grid globally. The impact of these events always brings service interruption in all …

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 …

The continuous development of the power systems by implementing new technologies for
management and connection of new sources of electricity requires improvement of the …