Quantum mechanics (QM) can be understood as a set of rules that forms the basis for
developing all quantum theories. One of these theories is quantum computation (QC), ie …

As a large number of renewable energy resources are connected to power systems, the
operation, planning, and optimization of power systems have been becoming more and …

Leveraging the current generation of quantum devices to solve optimization problems of
practical interest necessitates the development of hybrid quantum-classical (HQC) solution …

This paper collects the challenges and opportunities that emerge from the millions of
controllable devices–and the micro-flexibility they offer–that are deployed across the …

In recent years, the attention of researchers has been drawn to identifying and investigating
new optimal approaches for operation of the distribution networks (ODNs) and the role of …

Climate change is becoming one of the greatest challenges to the sustainable development
of modern society. Renewable energies with low density greatly complicate the online …

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 secure operation of the transmission grid is of primary importance for any power system
operator. However, the introduction of new technologies, market deregulation, and …

This paper explores the potential application of quantum and hybrid quantum–classical
neural networks in power flow analysis. Experiments are conducted using two datasets …

Quantum computers hold promise for solving problems intractable for classical computers,
especially those with high time and/or space complexity. The reduction of the power flow …