Prosumer-Optimization Technique-POT Domain and Desired Objective Model Findings Ref.
Prosumer Genetic Algorithm (PGA)
Domain: Residential energy management system It is concerned with the cost of electricity and reducing the peak to average ratio
A hybrid-renewable generation and ESS load were controlled and handled using a Genetic Algorithm (GA).
We are dividing devices into clusters. User comfort is not regarded.
[126]-[127]
Prosumer Mixed Integer Linear Programming (PMILP)
Domain: Energy-management System and Grid connection Aimed to reduce the peak to average ratio cost using renewable energy.
The energy management approach for residential based on renewable energy.
Peak to average ratio cost reduction was achieved.
[128]- [129]
Prosumer Particle Swarm Optimization (PPSO)
Domain: Appliance scheduling. Aimed to  reduce energy costs and improuve consumer satisfaction. Produce electricity and handle Energy demand. A reasonable deal was done regarding benefits and User comfort.
[130]-[131]-[132]-[133]
Prosumer Linear programming (PLP) Domain: Residential energy management system. Tend to reduce the electricity bills and peak to average ratio.
Energy use scheduling to avoid maximum load times based on ESS.
Tasks are to use ESS off-grid and then modify them during peak hours.
[134]- [135]- [136]-[137]- [138]-[139]
Prosumer Integer Linear Programming (PILP)
Domain: Residential energy management system. Appliance scheduling.
A scheduling approach to controlling home and neighborhoods energy demand.
The integration and management of electricity usage trends are achieving a significant reduction in peak periods.
[140]-[141]- [142]-[143]-[144]