Due to the fast advancement of communication and information technology, intelligent
buildings have garnered great interest. These buildings can forecast weather, ambient …

The residential load sector plays a vital role in terms of its impact on overall power balance,
stability, and efficient power management. However, the load dynamics of the energy …

In the last few years, the application of Model Predictive Control (MPC) for energy
management in buildings has received significant attention from the research community …

The integration of demand side management (DSM) with smart grid (SG) can facilitate
residents' transfer into smart homes and sustainable cities by reducing the carbon emission …

There is huge expectation from smart power grid to provide sustainable energy services
using bi-directional flow of data and power enabled by advanced information …

A genetic algorithm (GA) is an evolutionary algorithm inspired by the natural selection and
biological processes of reproduction of the fittest individual. GA is one of the most popular …

Solar and wind energy are considered as promising electrical generating sources. These
renewable energies are omnipresent, with free access, and a friendly environmental impact …

The demand for electricity is increasing day by day, which cannot be fulfilled by non-
renewable energy sources alone. Renewable energy sources such as solar and wind are …

This paper evaluates the impact of Peer-to-Peer (P2P) energy trading among the smart
homes in a microgrid. Recent trends show that the households are gradually adopting …

Fast depleting fossil fuels and the growing awareness for environmental protection have led
us to the energy crisis. Hence, efforts are being made by researchers to investigate new …