The remarkable miniaturization of Internet of Things (IoT)-based systems and the rise of
distributed intelligence are promising research paradigms in the design of smart cities. IoT …

In this chapter, a novel data-driven method, which is called the deep deterministic policy
gradient (DDPG), is applied for optimally controlling the multi-zone residential heating …

For effective engagement of residential demand-side resources and to ensure efficient
operation of distribution networks, we must overcome the challenges of controlling and …

In this paper, the combined problem of power company selection and demand response
management (DRM) in a smart grid network consisting of multiple power companies and …

This paper presents a comprehensive scheduling framework for residential demand
response (DR) programs considering both the day-ahead and real-time electricity markets …

Demand response (DR), where electricity consumption is shifted in response to incentive
signals, can ease the transition to renewable generation. However, when many devices …

This Paper deals with the optimum energy management of Microgrid (MG) having Energy-
Storage System (ESS) s. Recently, the importance of retaining the profits of MG owners and …

The paper proposes a generalized energy storage (GES) model for battery energy storage
systems (BESS), electric water heaters (EWH) and heating, ventilation, and air-conditioning …

This paper explores the aggregation of electricity consumers flexibility. A novel coalitional
game theory model for partition function games with non-transferable utility is proposed. This …

The home energy management system (HEMS), which utilizes multi-modal data from
multiple sensors to generate the knowledge about decision making, is essential to the …