Academy & Industry Research Collaboration Center (AIRCC)

Volume 9, Number 4, March 2019

Energy Prediction System for Smart Home

  Authors

Brahim lejdel University of EL-Oued, Algeria

  Abstract

Actually, the energy consumption prediction in a smart home is an important subject of research. In this paper, we will propose a model that based on genetic algorithm that can help inhabitants and decision-makers to make the best decision, in term of energy consumption. We will implement our system, which can help the inhabitants optimize their energy consumptions using many technics as NodeMCU, cloud computing, and genetic algorithm.

  Keywords

smart home; NodeMCA; Cloud computing; genetic algorithm