The evolutionary game theory method has been widely used in the research works about
different kinds of energy utilization fields, especially the clean energy utilizations which can …

Abstract Development of efficient multi-objective evolutionary algorithms (MOEAs) has
provided effective tools to solve environmental/economic dispatch (EED) problems. EED is a …

A day-ahead and real-time two-stage risk economic optimal model of integrated energy
system (IES) is established. First, considering the electricity and heating coupling …

In this paper, an Improved version of the Slime Mould Algorithm (ISMA) is proposed and
applied to efficiently solve the single-and bi-objective Economic and Emission Dispatch …

Enabling P2P energy trading among prosumers (both producers and consumers) is a
promising paradigm in the decentralized energy era. It is important to design a fair pricing …

This paper proposes an optimal economic dispatch of a grid connected microgrid. The
microgrid consists of solar photovoltaic, diesel and wind power sources. An Incentive Based …

This study presents the Enhanced Cheetah Optimizer Algorithm (ECOA) designed to tackle
the intricate real-world challenges of dynamic economic dispatch (DED). These complexities …

Bidirectional interaction between power grid and buildings is a key characteristic of smart
grids. Achieving a win-win situation for a grid and buildings with such interactions remains a …

The majority of multi-agent system implementations aim to optimise agents' policies with
respect to a single objective, despite the fact that many real-world problem domains are …

While solar PV generation is well-established on single-family houses, there is still a lack of
installations on apartment buildings. To understand the effect of sharing distributed …