Marc Wenninger, Andreas Maier & Jochen Schmidt have recently released DEDDIAG, a domestic electricity demand dataset of individual appliances in Germany. The data set contains recordings from 15 homes over a period of up to 3.5 years, in which 50 appliances have been recorded at a frequency of 1 Hz. The data set focuses on appliances of significance for load-shifting purposes, such as dishwashers, washing machines and refrigerators. One home also includes three-phase mains readings that can be used for disaggregation tasks. Additionally, DEDDIAG contains manual ground truth event annotations for 14 appliances, that provide precise start and stop timestamps. The authors have also released source code of the data collection system, as well as a python command line tool for loading the data.