The energy sector plays a vital role in achieving a sustainable net-zero future, and the
adoption of advanced technologies such as AI, blockchain, quantum computing, digital twin …

The analysis of power systems with a significant share of renewable generation using
probabilistic tools is essential to appropriately consider the impact that the variability and …

Governments' net zero emission target aims at increasing the share of renewable energy
sources as well as influencing the behaviours of consumers to support the cost-effective …

This paper introduces a probabilistic framework for transient stability assessment (TSA) of
power systems with high penetration of renewable generation. The critical generators and …

Enhancing the resilience of power distribution systems to extreme weather events is of
critical concern. Upgrading the distribution system infrastructure by system hardening and …

In pursuit of identifying the most accurate and efficient uncertainty modelling (UM)
techniques, this paper provides an extensive review and classification of the available UM …

This paper critically evaluates a number of sensitivity analysis (SA) techniques to identify the
most influential parameters affecting power system small-disturbance stability. SA of …

Power system security assessment methods require large dataset of operating points to train
or test their performance. As historical data often contain limited number of abnormal …

The renewable energy source based generating technologies and flexible demand and
storage devices exhibit significant temporal and spatial uncertainties in generating and …

Future power systems will be significantly different compared with their present states. They
will be characterized by an unprecedented mix of a wide range of electricity generation and …