Improving the energy efficiency of Heating, Ventilation, and Air Conditioning (HVAC)
systems is crucial to reduce buildings' energy costs and their carbon footprint. HVAC …

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 …

This paper proposes a novel reinforcement learning (RL) architecture for the efficient
scheduling and control of the heating, ventilation and air conditioning (HVAC) system in a …

Smart thermostats and home energy management systems (HEMSs) are generally studied
separately. However, their joint use can provide a greater benefit. Therefore, this study …

Hybrid solar-battery power source is essential in the nexus of plug-in electric vehicle (PEV),
renewables, and smart building. This paper devises an optimization framework for efficient …

Load aggregators can use demand response programs to motivate residential users toward
reducing electricity demand during peak time periods. This article proposes a demand …

To ensure the autonomous power supply in microgrids (MGs) in stand-alone mode while
also maintaining stability, energy storage systems (ESSs) and demand-side flexibility can be …

Small-scale PV generation has become popular with residential customers in several
jurisdictions with high solar radiation, as an alternative to improve their carbon footprint and …

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 …