In this paper, GWO is adapted for Power Schedul- ing Problem (PSP). PSP is addressed by schedul- ing home appliances to a certain time horizon to minimize the electricity bill and peak-to-average ratio (PAR) and increase the comfort level of users. The simulation results shows the GWO ef- ficiency in obtaining optimal schedule by com- pare its results with genetic algorithm (GA) re- sults, where GWO exhibits and yield better per- formance than GA using the same scenario
For mitigating the urgency of constructing power plant, alleviating supply pressure of power company...
The Coronavirus herd immunity optimizer (CHIO) is a new human-based optimization algorithm that imit...
In this paper, we propose mathematical optimization models of household energy units to optimally co...
Smart grid enables consumers to control and schedule the consumption pattern of their appliances, mi...
With the emergence of automated environments, energy demand by consumers is increasing rapidly. More...
With recent developments, smart grids assured for residential customers the opportunity to schedule ...
In residential energy management (REM), time of use (TOU) of appliances scheduling based on user-def...
Due to the increasing electricity consumption in the residential sector, new control systems emerged...
AbstractConsiderable study has been made to improve the efficacy of appliances for energy management...
Energy consumption schedulers have been widely adopted for energy management in smart microgrids. En...
In this paper, we design a controller for home energy management based on following meta-heuristic a...
In this work, the Genetic Algorithm is explored for solving a predictive based demand side managemen...
In the revolution of green energy development, microgrids with renewable energy sources such as sola...
In the revolution of green energy development, microgrids with renewable energy sources such as sola...
In the revolution of green energy development, microgrids with renewable energy sources such as sola...
For mitigating the urgency of constructing power plant, alleviating supply pressure of power company...
The Coronavirus herd immunity optimizer (CHIO) is a new human-based optimization algorithm that imit...
In this paper, we propose mathematical optimization models of household energy units to optimally co...
Smart grid enables consumers to control and schedule the consumption pattern of their appliances, mi...
With the emergence of automated environments, energy demand by consumers is increasing rapidly. More...
With recent developments, smart grids assured for residential customers the opportunity to schedule ...
In residential energy management (REM), time of use (TOU) of appliances scheduling based on user-def...
Due to the increasing electricity consumption in the residential sector, new control systems emerged...
AbstractConsiderable study has been made to improve the efficacy of appliances for energy management...
Energy consumption schedulers have been widely adopted for energy management in smart microgrids. En...
In this paper, we design a controller for home energy management based on following meta-heuristic a...
In this work, the Genetic Algorithm is explored for solving a predictive based demand side managemen...
In the revolution of green energy development, microgrids with renewable energy sources such as sola...
In the revolution of green energy development, microgrids with renewable energy sources such as sola...
In the revolution of green energy development, microgrids with renewable energy sources such as sola...
For mitigating the urgency of constructing power plant, alleviating supply pressure of power company...
The Coronavirus herd immunity optimizer (CHIO) is a new human-based optimization algorithm that imit...
In this paper, we propose mathematical optimization models of household energy units to optimally co...