Published: 21 December 2023| Version 3 | DOI: 10.17632/rz3fr95t2s.3


This dataset was acquired using the IN 9220 module from National Instruments. Two channels were utilized, with one monitoring the electrical voltage delivered to a set of equipment powered at a common coupling point, while the other channel monitored the electrical current delivered to the same set of equipment. The IN 9220 module was configured to acquire voltage and current samples at a rate of 99,960 samples per second for 10 seconds. The acquisition process was repeated for every possible combination of 8 electro-electronic devices, ranging from all devices turned off to all devices turned on, resulting in 256 loads. The voltage and current samples for each load are stored in CSV files with names following the pattern "L" followed by the load number. For example, L0.csv is the file containing voltage and current samples acquired for load 0, representing no devices turned on. Similarly, L255 is the file for load 255, representing all 8 devices turned on.



Universidade Federal do Espirito Santo, Universidade da Integracao Internacional da Lusofonia Afro-Brasileira


Artificial Intelligence, Computational Pattern Recognition, Smart City, Smart Grid Technology