Energy-aware smart home planning: a real case study in Montevideo, Uruguay

ROSSIT, DIEGO GABRIEL; NESMACHNOW, SERGIO

Communications in Computer and Information Science

Springer Verlag

Año: 2022 vol. 1555 p. 146 - 161

This article presents an approach for energy-aware smart home planning via direct control and planning of residential electric appliances for smart cities. Energy-aware planning is a crucial concept for achieving a better utilization of resources and improving the quality of life in modern cities. In this line of work, this article proposes a stochastic optimization approach to plan the utilization of domestic appliances considering stochastic user preferences. A specific case study is addressed, considering residential households in Montevideo, Uruguay. The case study is modeled using built using real data from existing appliances and a data analysis approach for modeling user preferences. The proposed approach is able to compute accurate plannings in the experimental evaluation performed. The developed approach contributes to energy efficiency and sustainability in modern smart cities.