[HTML][HTML] A multi-objective improved cockroach swarm algorithm approach for apartment energy management systems
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 …
uncertainty for an electricity provider. For a dependable and financially advantageous …
Enhanced leader particle swarm optimisation (ELPSO): a new algorithm for optimal scheduling of home appliances in demand response programs
A Rezaee Jordehi - Artificial Intelligence Review, 2020 - Springer
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 …
their electricity consumption through home energy management (HEM) systems. HEM …
Optimal GWCSO-based home appliances scheduling for demand response considering end-users comfort
Nowadays, the most notable uncertainty for an electricity utility lies in the electrical demand
and generation in power systems. Demand response (DR) accomplishment due to the home …
and generation in power systems. Demand response (DR) accomplishment due to the home …
An incentive-based optimal energy consumption scheduling algorithm for residential users
Smart Grid is the most promising concept which is more reliable, flexible, controllable and
environment friendly. Home energy management (HEM) system is an important part of the …
environment friendly. Home energy management (HEM) system is an important part of the …
Scheduling of smart home appliances for optimal energy management in smart grid using Harris-hawks optimization algorithm
With arrival of advanced technologies, automated appliances in residential sector are still in
unlimited growth. Therefore, the design of new management schemes becomes necessary …
unlimited growth. Therefore, the design of new management schemes becomes necessary …
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 …
Multi-objective scheduling of IoT-enabled smart homes for energy management based on Arithmetic Optimization Algorithm: A Node-RED and NodeMCU module …
The home energy management system (HEMS) based on advanced internet of things (IoT)
technology has attracted the special attention of engineers in the field of smart grid (SG) …
technology has attracted the special attention of engineers in the field of smart grid (SG) …
[HTML][HTML] Efficient optimization algorithm-based demand-side management program for smart grid residential load
Incorporating demand-side management (DSM) into residential energy guarantees dynamic
electricity management in the residential domain by allowing consumers to make early …
electricity management in the residential domain by allowing consumers to make early …
Binary particle swarm optimisation with quadratic transfer function: A new binary optimisation algorithm for optimal scheduling of appliances in smart homes
AR Jordehi - Applied Soft Computing, 2019 - Elsevier
Demand response (DR) is the response of electricity consumers to time-varying tariffs or
incentives awarded by the utility. Home energy management systems are systems whose …
incentives awarded by the utility. Home energy management systems are systems whose …
Appliances scheduling via cooperative multi-swarm PSO under day-ahead prices and photovoltaic generation
This work studies the problem of appliances scheduling in a residential unit. An appliance-
scheduling model for the home energy management system (HEMS) is established based …
scheduling model for the home energy management system (HEMS) is established based …