The application of Artificial Intelligence (AI) across a wide range of domains comes with both
high expectations of its benefits and dire predictions of misuse. While AI systems have …

The use of machine learning and data-driven methods for predictive analysis of power
systems offers the potential to accurately predict and manage the behavior of these systems …

The estimation of state of health (SOH) of a lithium-ion battery (LIB) is of great significance to
system safety and economic development. This paper proposes a SOH estimation method …

The pursuit of improved quality of life standards has significantly influenced the
contemporary mining model in the 21st century. This era is witnessing an unprecedented …

The inevitable transition of the power system toward a sustainable and renewable-energy
centered power system is accompanied by huge versatility and significant challenges. A …

Future distribution networks (DN) are subject to rapid load changes and high penetration of
variable distributed energy resources (DER). Due to this, the DN operators face several …

Artificial agents are promising for real-time power network operations, particularly, to
compute remedial actions for congestion management. However, due to high reliability …

The energy sector is facing rapid changes in the transition towards clean renewable
sources. However, the growing share of volatile, fluctuating renewable generation such as …

The operation of electricity grids has become increasingly complex due to the current
upheaval and the increase in renewable energy production. As a consequence, active grid …

Physical simulations are at the core of many critical industrial systems. However, today's
physical simulators have some limitations such as computation time, dealing with missing or …