Optimization methods for power scheduling problems in smart home: Survey
Optimizing the power demand for smart home appliances in a smart grid is the primary
challenge faced by power supplier companies, particularly during peak periods, due to its …
challenge faced by power supplier companies, particularly during peak periods, due to its …
An overview of the building energy management system considering the demand response programs, smart strategies and smart grid
Electricity demand is increasing, as a result of increasing consumers in the electricity market.
By growing smart technologies such as smart grid and smart energy management systems …
By growing smart technologies such as smart grid and smart energy management systems …
A novel hybrid grey wolf optimizer with min-conflict algorithm for power scheduling problem in a smart home
In this paper, the min-conflict local search algorithm (MCA) is hybridized with the grey wolf
optimizer (GWO) for the power scheduling problem in smart home (PSPSH), and the …
optimizer (GWO) for the power scheduling problem in smart home (PSPSH), and the …
A hybrid white shark equilibrium optimizer for power scheduling problem based IoT
The power schedule problem (PSP) is the problem of managing, controlling, and scheduling
power consumption of electrical appliances/devices to operate at the best periods according …
power consumption of electrical appliances/devices to operate at the best periods according …
Smart home battery for the multi-objective power scheduling problem in a smart home using grey wolf optimizer
The power scheduling problem in a smart home (PSPSH) refers to the timely scheduling
operations of smart home appliances under a set of restrictions and a dynamic pricing …
operations of smart home appliances under a set of restrictions and a dynamic pricing …
Metaheuristics paradigms for renewable energy systems: advances in optimization algorithms
In recent days, many novel techniques and technologies are developing for power
generation. Most of them are in its developed phase but its efficiency and reliability are low …
generation. Most of them are in its developed phase but its efficiency and reliability are low …
[HTML][HTML] Scheduling home appliances with integration of hybrid energy sources using intelligent algorithms
FT El Sayed, GM Amer, HM Fayez - Ain Shams Engineering Journal, 2022 - Elsevier
Abstract This paper presents Home Energy Management System (HEMS) for smart homes.
This system includes Photovoltaic Sources and Battery Storage Units (BSU) and scheduling …
This system includes Photovoltaic Sources and Battery Storage Units (BSU) and scheduling …
A modified coronavirus herd immunity optimizer for the power scheduling problem
The Coronavirus herd immunity optimizer (CHIO) is a new human-based optimization
algorithm that imitates the herd immunity strategy to eliminate of the COVID-19 disease. In …
algorithm that imitates the herd immunity strategy to eliminate of the COVID-19 disease. In …
Multi-objective power scheduling problem in smart homes using grey wolf optimiser
In this paper, the multi-objective grey wolf optimiser is utilised for the power scheduling
problem (PSP). The grey wolf optimiser (GWO) is a recent swarm-based optimisation …
problem (PSP). The grey wolf optimiser (GWO) is a recent swarm-based optimisation …
Particle swarm optimization algorithm for power scheduling problem using smart battery
SN Makhadmeh, AT Khader… - 2019 IEEE Jordan …, 2019 - ieeexplore.ieee.org
Power Scheduling Problem (PSP) is a problem of schedule the smart home appliances at
appropriate time period according to an electricity pricing scheme. The smart home …
appropriate time period according to an electricity pricing scheme. The smart home …