DSM provides a variety of scenario-based cost efficient solutions. The popular strategy to reduce maximum cost is shifting the appliances load from on-peak to off-peak time (Zhou et al., 2016). DSM controls the operations of appliances to reduce the bills for the consumer.
Mar 2, 2020 · In this paper, four scheduling algorithms are proposed by hybridising elephant herding optimisation (EHO) with genetic, firefly, bacterial ...
In smart grid, the minimum cost for power consumption is attained by scheduling the appliances load. Shifting the appliances load from on-peak to off-peak ...
Jan 1, 2020 · The cost efficiency of optimised power consumption is analysed. Results show that more cost is reduced with proposed hybrid algorithms as ...
From a brief literature review, it is observed that the integration of information and communication technologies enables the electricity users and utility ...
In this paper, a three-layered architecture comprising of cloud, fog and consumer layers is proposed. A meta-heuristic algorithm: Improved Particle Swarm ...
This article proposes a home energy management system (HEMS) to minimize the energy consumption for residential loads by demand side management (DSM) based ...
This study develops a new mathematical model to manage DSM in smart residential buildings. Extant literature commonly considers only a single objective function ...
Aug 19, 2023 · A mixed integer linear programming (MILP) based technique is proposed in [14] for load balancing and cost optimization in smart homes for ...
This study lists out DSM techniques used in the literature for appliance scheduling. Most of these techniques aim at energy management in residential sectors.