IoT platform and infrastructure for data-driven optimization and control of building energy system operation

Optimizing the operation of energy systems as typically found in buildings, plants, and districts has the potential to greatly reduce primary energy consumption and maintenance expenses. Due to the complexity and nontransparency of these systems, costs of implementing optimizations may well consume or exceed potential savings. Data-driven methods for the automatic analysis and optimization of energy systems represent a promising solution to this dilemma. In this paper, we present a real-world IoT cloud platform for automatic data-driven analysis and control of energy systems that promotes usability, scalability, and efficiency. The presented solution has been successfully developed to market maturity in agile collaboration with industry and research, and is now commercially offered by aedifion GmbH.