Residential Smart Meter Energy Time Series: One month of active power measurements with 1s reporting rate

The dataset includes active power measurements for a residential dwelling (apartment) located in Bucharest, Romania, collected at 1s second reporting rate over one month.We hope that the dataset is useful to energy systems and computational intelligence researchers for time series forecasting, classification and energy disaggregation tasks.For collecting the energy measurement data SLAMs (Smart Low-Cost Advance Meter) is used. SLAM is the new generation of smart meters which takes advantages of new technologies in ICT and it is based on the smart meter Unbundled concept, differentiating the two modules (SMM and SMX). The SLAM meter is an advanced multi-function digital single-phase smart meter Class B in active energy and Class 2 in reactive energy, which complies with European legislation related to energy meters (MID) EN 50470-1 and EN 50470-3. It includes the SMX module that allows development of business related applications while allowing a multi user, multi- protocol communications with the grid actors. The communication of the smart meter with the exterior environment is done while preserving on the user side a strong control of data content and considering privacy and security aspects for data exchange to support data protection regulation rules.The USM concept is described in detail in:M. Sanduleac, L. Pons, G. Fiorentino, R. Pop and M. Albu, The unbundled smart meter concept in a synchro-SCADA framework, 2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings, 2016, pp. 1-5, doi: 10.1109/I2MTC.2016.7520459.A data analytics approach using this data set for time series data mining using the Matrix Profile technique for feature extraction is presented in:G. Stamatescu, R. Plamanescu, A. -M. Dumitrescu, I. Ciomei and M. Albu, Multiscale Data Analytics for Residential Active Power Measurements through Time Series Data Mining, 2022 IEEE 7th International Energy Conference (ENERGYCON), 2022, pp. 1-5, doi: 10.1109/ENERGYCON53164.2022.9830170.