This paper deals with the application of Heuristic and Genetic Algorithms to solve the demand planning problem in smart homes, in order to reduce the total monetary value of consumed energy or offset the seasonality from based electric generators renewable sources such as wind and solar generators. The demand management application takes into account the presence of distributed generation, time-differentiated prices (White Tariff), priority of loads and prepaid rate. The demand planning is a combinatorial problem subjected to the load allocation restrictions. The problem is solved using a heuristic method together with a Genetic Algorithm to get a compromise between comfort and the cost of energy expended. Tests with a radial residential system are performed in order to validate the model.
No takes yet. Share an insight, caveat, or question.
Flores et al. (2016) studied this question.
Synapse has enriched 5 related papers. Consider them for comparative context: