DEDDIAG, a domestic electricity demand dataset of individual appliances in Germany.

ABSTRACT: Real-world domestic electricity demand datasets are the key enabler for developing and evaluating machine learning algorithms that facilitate the analysis of demand attribution and usage behavior. Breaking down the electricity demand of domestic households is seen as the key technology for intelligent smart-grid management systems that seek an equilibrium of electricity supply and demand. For the purpose of comparable research, we publish DEDDIAG, a domestic electricity demand dataset of individual appliances in Germany. The dataset contains recordings of 15 homes over a period of up to 3.5 years, wherein total 50 appliances have been recorded at a frequency of 1 Hz. Recorded appliances are of significance for load-shifting purposes such as dishwashers, washing machines and refrigerators.

SUBMITTER: Wenninger M 

PROVIDER: S-EPMC8282868 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature