This work presents a literature review of control methods, with an emphasis on the theory
and applications of model predictive control (MPC) for heating, ventilation, and air …

The increasing demand for electricity and the emergence of smart grids have presented new
opportunities for home energy management systems (HEMS) in demand response markets …

Energy is a vital resource for human activities and lifestyle, powering important everyday
infrastructures and services. Currently, pollutant and non-renewable sources, such as fossil …

We describe algorithmic enhancements to a decision-support tool that residential
consumers can utilize to optimize their acquisition of electrical energy services. The decision …

With the rapid advancements in technologies like smart grid, network communication,
information infrastructures, bidirectional communication medium's, energy conservation …

Abstract The Demand-Side-Load Management will change the way people behave.
Different authors have proposed energy management algorithms for Smart Home that either …

This paper concerns the problem of optimally scheduling a set of appliances at the end-user
premises. In the context of electricity smart grids, the electric energy fee varies over time and …

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 problem of modeling and stochastic optimization for home energy management is
considered. Several different types of load classes are discussed, including heating …

Home energy management system (HEMS) is an important problem that has been attracting
significant attentions in the recent years. However, the conventional HEMS includes several …