Predictive model for NILM using particle filter algorithms
Research Project "Analysis and efficient management of electrical energy using IoT sensors and distributed cloud computing" - 2022
To be done
- Real-time integration of electrical consumption into machine learning systems using smart meters and high-precision power quality analyzers.
- Development of a predictive model for electrical consumption disaggregation using particle filter algorithms.