A major challenge in renewable energy planning and integration with existing systems is the
management of intermittence of the resources and customer demand uncertainties that are …

This paper proposes a hybrid robust-stochastic optimization model for smart home energy
management in day-ahead (DA) and real-time (RT) energy markets which the uncertainties …

The grid congestion and imbalance problems are nowadays approached through a new
perspective of the energy flexibility services that are usually acquired through a bidding …

Residential Buildings are considered as the most important and eventual beneficial part of
the future smart energy system. Therefore, development of an efficient home power …

In complex multi-energy systems, one of the main goals is that combining optimal
circumstances to acquire minimum system cost as decreasing energy consumption without …

This manuscript proposes an intelligent supply and demand management system in a
complete network of electricity production and consumption. A micro smart grid (MSG) …

This paper presents a day ahead optimal dispatch method for smart grids including two-axis
tracking photovoltaic (PV) panels, wind turbines (WT), a battery energy storage system …

Being a significant contributor to energy consumption, residential buildings are now in
crucial need to reduce and schedule their energy usage. It was found that the previous …

Intermittence of renewable energy is a challenge to demand side management in distributed
grid technologies. Time-of-use tariffs are often applied to implement traditional strategies …

The electricity consumption will continue to increase despite the overall efforts and
tendencies of changing the old appliances to less energy intensive ones. The …