Name
Abstract | ||
|---|---|---|
An approach using a genetic algorithm to optimize the scheduling of domestic electric loads, according to technical and user-defined constraints and input signals, is presented and illustrative results are shown. The aim is minimizing the end-user's electricity bill according to his/her preferences, while accounting for the quality of the energy services provided. The constraints include the contracted power level, end-users' preferences concerning the admissible and/or preferable time periods for operation of each load, and the amount of available usable power in each period of time to account for variations in the (non-manageable) base load. The load scheduling is done for the next 36 hours assuming that a dynamic pricing structure is known in advance. The results obtained present a noticeable decrease of the electricity bill when compared to a reference case in which there is no automated scheduling. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-37192-9_15 | EvoApplications |
Keywords | Field | DocType |
available usable power,dynamic pricing structure,base load,preferable time period,genetic algorithm,electricity bill,automated scheduling,power level,domestic load scheduling,energy service,load scheduling,domestic electric load,genetic algorithms | Mathematical optimization,Base load power plant,Fair-share scheduling,Electricity,Computer science,Dynamic pricing,Scheduling (computing),Genetic algorithm scheduling,Rate-monotonic scheduling,Dynamic priority scheduling | Conference |
Citations | PageRank | References |
1 | 0.39 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ana Soares | 1 | 1 | 0.39 |
| Állvaro Gomes | 2 | 1 | 0.39 |
| Carlos Henggeler Antunes | 3 | 261 | 34.75 |
| Hugo Cardoso | 4 | 1 | 0.39 |