A survey on demand response programs in smart grids: Pricing methods and optimization algorithms
The smart grid concept continues to evolve and various methods have been developed to
enhance the energy efficiency of the electricity infrastructure. Demand Response (DR) is …
enhance the energy efficiency of the electricity infrastructure. Demand Response (DR) is …
A survey on electric vehicle transportation within smart grid system
The electrification of hybrid electric vehicle reduces the reliance of transportation on fossil
fuels and reduces Green House Gas emissions. The economic and environmental benefits …
fuels and reduces Green House Gas emissions. The economic and environmental benefits …
Exploiting heuristic algorithms to efficiently utilize energy management controllers with renewable energy sources
In this paper, we comparatively evaluate the performance of home energy management
controller which is designed on the basis of heuristic algorithms; genetic algorithm (GA) …
controller which is designed on the basis of heuristic algorithms; genetic algorithm (GA) …
On the assessment and control optimisation of demand response programs in residential buildings
The ability to control and optimise energy consumption at end-user level is of increasing
interest as a means to achieve a balance between supply and demand, particularly when …
interest as a means to achieve a balance between supply and demand, particularly when …
Computational scheduling methods for integrating plug-in electric vehicles with power systems: A review
Traditional internal combustion engine vehicles are a major contributor to global
greenhouse gas emissions and other air pollutants, such as particulate matter and nitrogen …
greenhouse gas emissions and other air pollutants, such as particulate matter and nitrogen …
A hybrid genetic wind driven heuristic optimization algorithm for demand side management in smart grid
In recent years, demand side management (DSM) techniques have been designed for
residential, industrial and commercial sectors. These techniques are very effective in …
residential, industrial and commercial sectors. These techniques are very effective in …
Optimal power flow solution based on jellyfish search optimization considering uncertainty of renewable energy sources
Today's electrical power system became more complex interconnected network that is
expanding every day. The transmission lines of the power system are more severely loaded …
expanding every day. The transmission lines of the power system are more severely loaded …
Heuristic algorithm based optimal power flow model incorporating stochastic renewable energy sources
Today's electricity grid is rapidly evolving, with increased penetration of renewable energy
sources (RES). Conventional Optimal Power Flow (OPF) has non-linear constraints that …
sources (RES). Conventional Optimal Power Flow (OPF) has non-linear constraints that …
Meta-heuristic optimization based cost efficient demand-side management for sustainable smart communities
The monetary value of grid electricity is inflating significantly due to the staggeringly
broadening gap between electricity demand and supply, which arise from the unceasing …
broadening gap between electricity demand and supply, which arise from the unceasing …
A smart home energy management approach incorporating an enhanced northern goshawk optimizer to enhance user comfort, minimize costs, and promote efficient …
Hydrogen plays a crucial role in the quest for sustainable and clean energy solutions, and its
effect on smart home energy management is of particular interest. With the rapid …
effect on smart home energy management is of particular interest. With the rapid …