A real-world energy management data set from a smart company building for optimization and machine learning

We present a real-world data set obtained from monitoring a smart company building over the course of six years. The data set describes the energy consumption of various sites within the building, energy production via a photovoltaic system and a combined-heat-and-power plant, and the detailed operation of the heating and cooling system. The data set further contains measurements from an on-site weather station for the same time period. The data set covers periods of normal operation before the onset of the Covid-19-pandemic, periods of reduced operation during, and after, the pandemic. We describe the recording, processing, and curation strategy to generate the data set. The data set enables the application of a wide range of methods in the domain of energy management, including optimization, modelling, and machine learning to optimize building operations and reduce costs and carbon emissions.