Nowadays, energy management aims to propose different strategies utilize available resources, resulting in sustainability of systems and development smart sustainable cities. As an effective approach toward management, non-intrusive load monitoring (NILM), infer the power profiles appliances from aggregated signal via purely analytical methods. Existing NILM methods are susceptible various issu...

Abstract The non-intrusive power load identification relies on the smart meter’s voltage, current and signals, which can realize classification monitoring of domestic electric load. algorithm is core system. Non-intrusive intelligent systems are generally based a single model for aggregation, commonly used models include hidden Markov models, graphical deep learning models. Usually, only effect...