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 …

In the context of carbon peaking as well as carbon neutral, energy storage, as well as
energy saving technology, have become a research hot spot. The combination of energy …

The increasing price of and demand for energy have prompted several organizations to
develop intelligent strategies for energy tracking, control, and conservation. Demand side …

Improving energy efficiency can go a long way in helping China address environmental
problems it currently faces and help deliver on its pledge of achieving carbon neutrality by …

The state of the power system has changed over the last decades. Recently, the power
system has faced several challenges and issues. On the one side, demands for electrical …

In the global effort to combat climate change and achieve sustainable development,
advancing sustainable energy in the power sector has gained substantial attention …

The evaluation of urban energy internet (UEI) is crucial for the establishment of low-carbon
cities. This paper aims to present a hybrid decision-making framework to address UEI …

This paper proposes a multi-agent based solution to minimize the energy cost of an energy
community, in day-ahead, that includes high penetration of electric vehicles. The proposed …

The penetration of electric vehicles and renewable resources as highly influenced
components in global warming and greenhouse gasses emission has increased in recent …

The evolution of energy systems has placed end users in a central role in dynamic, flexible
and decentralised cloud-based energy management models. Different terms have been …