Energy maps for Small and Medium Enterprises

Recurrence Quantification Analysis (RQA) is becoming a popular technique to analyse time-series obtained from complex dynamical systems. In this work, a recently presented RQA-based method to analyse and manage energy demand at low sampling rate (5 min and 30 min) is tested using datasets from three small enterprises. From recurrence plots, different RQA variables are obtained and analysed, following parameter optimisation that depends on a system observed. Based on RQA variables, energy maps of 'normal' behaviour are created. Here, preliminary robustness tests concerning the training phase length, missing data and noise are presented. Our test results show that this approach has great potential in energy management of small and medium enterprises.