Distributed stream processing engines are designed with a focus on scalability to process
big data volumes in a continuous manner. We present the Theodolite method for …

The visions and ideas of Industry 4.0 require a profound interconnection of machines, plants,
and IT systems in industrial production environments. This significantly increases the …

Abstract The Internet of Things adoption in the manufacturing industry allows enterprises to
monitor their electrical power consumption in real time and at machine level. In this paper …

Ever-increasing amounts of data and requirements to process them in real time lead to more
and more analytics platforms and software systems designed according to the concept of …

With the increased interest in smart cities and smart infrastructures, the need for energy
conservation is increasing. Especially with the current electrical energy production mainly …

Abstract The Titan Control Center is a software platform supporting research on industrial
big data analytics. Building upon a scalable and extensible architecture, the Titan Control …

Ever-increasing amounts of data and requirements to process them in real time lead to more
and more analytics platforms and software systems being designed according to the concept …

Maintaining a long-living software system is substantially related to the quality of the code
the system is built from. In this experience report we describe how a set of practices and …

The non-intrusive appliance load monitoring (NILM) decomposes the total power
consumption of a power system into its contributing appliances. Previous studies only …

Non-intrusive appliance load monitoring (NILM) is the process of decomposing the total
energy consumption of the combined electric system into its contributing appliances. In this …