Abstract
The industrial sector, which is characterised by complex and diverse equipment and processes, is a core contributor to carbon emissions. Agriculture, in particular, has seen an increase in carbon dioxide emissions, in contrast to methane and nitrous oxide emissions, due to the increased use of novel, energy-intensive agricultural technology. Therefore, to meet Net Zero targets, analyses of the energy consumption of dairy technologies are necessary to enhance the energy efficiency of the agricultural equipment. Incidentally, the only public electrical measurements datasets of agricultural technology are one for poultry feed for 111 days, one for a synthetic hourly load profile of a dairy farm in Finland and another with aggregate readings and submetered milking robots from three farms in Germany. This dataset aims to accelerate energy efficiency and management services in the sector by curating and providing access to a comprehensive, first-of-its-kind, granular (1-sec) power readings dataset from 30 dairy farms across Germany with 72 submetered energy-intensive equipment, for a period of over one year.