In this paper, a modified version of the Multi-objective Grey Wolf Optimizer (MGWO), known
as linked-based GWO (LMGWO), is proposed for the Appliances Energy Scheduling …

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 …

This paper presents the energy planning problem (EPP) as an optimization problem to find
the optimal schedules to minimize energy consumption costs and demand and enhance …

Minimizing energy costs while maintaining consumer satisfaction is a very challenging task
in a smart home. The contradictory nature of these two objective functions (cost of energy …

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 …

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 …

In smart homes, under price-based or incentivebased demand response programs, home
energy management system (HEMS) aims to determine optimal schedule of appliances in …

The electrical demand and generation in power systems is currently the biggest source of
uncertainty for an electricity provider. For a dependable and financially advantageous …

The power scheduling problem in smart home (PSPSH) is one of the complex NP-hard
scheduling problems, where it has a deep and rugged search space due to the high number …

Smart grids enable the residential consumers to have an active role in the management of
their electricity consumption through home energy management (HEM) systems. HEM …