Recent years have seen an increasing interest in Demand Response (DR) as a means to
provide flexibility, and hence improve the reliability of energy systems in a cost-effective way …

This article presents an overview of mathematical modeling and optimization of demand
response (DR) algorithms reported in the literature. The DR can be implemented at various …

Demand side management has been proved to be effective in improving the operating
efficiency of microgrids, while posing a severe threat to user privacy. This paper proposes a …

Abstract Heating, Ventilation and Air Conditioning (HVAC) systems in buildings are a major
source of global operational CO 2 emissions, primarily due to their high energy demands …

The high operation cost of the EV charging station (EVCS) is a severe challenge for the
development of electric vehicles, which lead to the general shortage of the EVCS. In order to …

In this paper, we investigate the problem of minimizing the sum of energy cost and thermal
discomfort cost in a long-term time horizon for a sustainable smart home with a heating …

Demand response for residential users is essential to the realization of modern smart grids.
In this paper, we propose a multiobjective approach to designing a demand response …

This paper proposes an optimal bidding strategy for autonomous residential energy
management systems. This strategy enables the system to manage its domestic energy …

In this work, we propose a Realistic Scheduling Mechanism (RSM) to reduce user frustration
and enhance appliance utility by classifying appliances with respective constraints and their …

In this article, a novel machine learning based data-driven pricing method is proposed for
sharing rooftop photovoltaic (PV) generation and energy storage in an electrically …