In distributed optimization of multi-agent systems, agents cooperate to minimize a global
function which is a sum of local objective functions. Motivated by applications including …

Demand response programs offer efficient solutions for many power system problems, such
as high generation cost, high demand's peak to average ratio, high emissions, reliability …

The rapidly increasing penetration of distributed energy resources (DERs) calls for a
hierarchical framework where aggregating entities handle the energy management …

The smart grid is widely considered to be the informationization of the power grid. As an
essential characteristic of the smart grid, demand response can reschedule the users' …

The smart grid concept continues to evolve and various methods have been developed to
enhance the energy efficiency of the electricity infrastructure. Demand Response (DR) is …

Global energy challenges have driven the adoption of renewable energy sources. Usually,
an intelligent energy and battery management system is deployed to harness the renewable …

With the increase of vehicle travelling range and the decrease of vehicle expense, Electric
Vehicles (EVs) are gaining popularity as a new transport option which offers a great …

The increasing demand for electricity and the emergence of smart grids have presented new
opportunities for home energy management systems (HEMS) in demand response markets …

Energy management in microgrids is typically formulated as a nonlinear optimization
problem. Solving it in a centralized manner does not only require high computational …

Energy is a vital resource for human activities and lifestyle, powering important everyday
infrastructures and services. Currently, pollutant and non-renewable sources, such as fossil …