A blackout is usually the result of increasing load beyond the transmission capacity of the
power system. One of the main reasons for power blackouts is voltage collapse. To avoid …

This paper reviews the combination of Artificial Neural Networks (ANN) and Evolutionary
Optimisation (EO) to solve challenging problems for the academia and the industry. Both …

A voltage collapse event is complex and localized in nature, but its effect is extensive. A vital
effect of voltage collapse is total system collapse or blackouts, which will result in a …

The utilities have the last control action of load shedding to protect the system from blackout.
In this direction a prudent planning to determine optimal load shedding is required to avoid …

In recent years, NNs, as the basic components in AI models and cryptographic schemes,
have come together in war and peace; a cross-impact forms a dichotomy deserving a …

Blackout around the world generally manifests due to the voltage instability on distribution
networks following major overloads, therefore the activation of the protection devices via a …

Quantum-inspired evolutionary algorithm (QEA) has proved to be an effective method to
design neural networks with few connections and high classification performance. When a …

This paper presents a new technique to determine optimal undervoltage load shedding
based on multi-objective approach namely Multi-objective Ant Lion Optimizer (MOALO) …

This book studies the intersection between cryptography and AI, highlighting the significant
cross-impact and potential between the two technologies. The authors first study the …

Load shedding has been extensively studied because of multiple power system failure
occurrences worldwide. Reliable techniques are required to provide rapid and precise load …