The need to assess how much is the home appliances electricity consumption of a population is increased during the recent years. Among the most important reasons, we can find the necessity for energy providers to better anticipate future demand. Also the users can benefit from this information, reducing the impact on the environment by identifying bad energy habits and costly appliances. The lack of labelled household appliances power signatures, useful for Non Intrusive Load Monitoring algorithms, led to a growing effort in literature in this field. Some generative models were created for reproducing the appliances power signatures not bound to users’ habits or time of the day.