The residential load sector plays a vital role in terms of its impact on overall power balance,
stability, and efficient power management. However, the load dynamics of the energy …

Conventional microgrids face a number of challenges due to intermittency of renewable
energy resources and the lack of any effective energy management system. Thus, there is a …

This paper presents a novel decentralized bi-level stochastic optimization approach based
on the progressive hedging algorithm for multi-agent systems (MAS) in multi-energy …

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 emerging concept of smart buildings, which requires the incorporation of sensors and
big data (BD) and utilizes artificial intelligence (AI), promises to usher in a new age of urban …

Energy is one of the essential foundations for the sustainable development of human
society, so its management is necessary. Energy management system (EMS) can be …

Energy management (EM) can be defined as the process of monitoring, planning,
optimizing, and saving energy to obtain an energy-efficient system. A microgrid (MG) is …

The parametric uncertainties inherent in the models of renewable and sustainable energy
systems (RSESs) make the associated decision-making processes of integrated resource …

This paper studies the design and management of a distributed energy system incorporating
renewable energy generation and heterogeneous end-users from residential, commercial …

Optimal management and planning of microgrids (MG) are the most important goals for
operators. In this study, a Multiobjective Genetic Algorithm (MOGA) is applied to the …