2026-06-06T19:31:30Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/166242026-02-03T12:04:17Zcom_10630_2254col_10630_37959

00925njm 22002777a 4500 dc Ayala-Viñas, Inmaculada author Amor-Pinilla, María Mercedes author Horcas-Aguilera, José Miguel author Fuentes-Fernández, Lidia author 2018-10-17 Advanced smart home appliances and new models of energy tariffs imposed by energy providers pose new challenges in the automation of home energy management. Users need some assistant tool that helps them to make complex decisions with different goals, depending on the current situation. Multi-agent systems have proved to be a suitable technology to develop self-management systems, able to take the most adequate decision under different context-dependent situations, like the home energy management. The heterogeneity of home appliances and also the changes in the energy policies of providers introduce the necessity of explicitly modeling this variability. But, multi-agent systems lack of mechanisms to effectively deal with the different degrees of variability required by these kinds of systems. Software Product Line technologies, including variability models, has been successfully applied to different domains to explicitly model any kind of variability. We have defined a software product line development process that performs a model driven generation of agents embedded in heterogeneous smart objects with different degrees of self-management. However, once deployed, the home energy assistant system has to be able to evolve to self-adapt its decision making or devices to new requirements. So, in this paper we propose a model driven mechanism to automatically manage the evolution of multi-agent systems distributed among several devices. https://hdl.handle.net/10630/16624 Software Model Driven Evolution of an Agent-Based Home Energy Management System