With the increase in renewable energy penetration and the widespread use of electric
vehicles, the uncertainty of controllable resources adversely affects the economic …

Undergoing a significant transition is demand-side management (DSM), brought about by
changes in the energy landscape, including the extensive deployment of renewable energy …

Nowadays market price uncertainty is one of the important challenging issues in the optimal
scheduling of smart apartment building (SAB). So, in this paper, a robust optimization …

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 …

Home energy management systems (HEMS) have transformed the traditional structure of
electricity consumption on the customer side and facilitate real-time interaction between the …

The integration of electric vehicles (EVs) into the energy industry has introduced an
unprecedented complexity into the energy supply system due to the uncertain nature of such …

One of the crucial tools for organizing energy consumption in buildings is a home energy
management system that can minimize the energy cost by using mathematical algorithms. In …

The combination of low-carbon electricity and electric vehicles brings considerable
economic and environmental benefits but also introduces challenges due to the complexity …

The uncertainties of the wind power generation, solar power generation, electricity load, and
heat load bring difficulties to the optimal scheduling of the urban integrated energy system …

This article provides a two-stage robust energy management method for a self-healing smart
building that can handle contingencies that occur during real-time operation. Aside from an …