To build, run, and maintain reliable manufacturing machines, the condition of their components has to be continuously monitored. When following a fine-grained monitoring of these machines, challenges emerge pertaining to the (1) feeding procedure of large amounts of sensor data to downstream processing components and the (2) meaningful analysis of the produced data. Regarding the latter aspect, manifold purposes are addressed by practitioners and researchers. Two analyses of real-world datasets that were generated in production settings are discussed in this paper. More specifically, the analyses had the goals (1) to detect sensor data anomalies for further analyses of a pharma packaging scenario and (2) to predict unfavorable temperature values of a 3D printing machine environment. Based on the results of the analyses, it will be shown that a proper management of machines and their components in industrial manufacturing environments can be efficiently supported by the detection of anomalies. The latter shall help to support the technical evangelists of the production companies more properly.

Solar resource assessment becomes more and more a very important factor for planners of Photovoltaic (PV) and Concentrated Solar Power (CSP) plants nowadays. Choice between nearby locations can make the difference if a plant is profitable or not, especially in a versatile climatic region with complex topography as it can be found in Pakistan. Nevertheless, Pakistan's geographic location and climate offers a very high potential for solar energy applications. The solar resource assessment study presented in this article describes the approach and set-up required by the World Bank's Energy Sector Management Assistance Program (ESMAP) 1 : The presented project described, aims on creating a validated solar atlas for Pakistan based on a combination of satellite data and ground measurements to support country-driven efforts to improve renewable energy resource awareness and exploitation. There are several country-specific, ESMAP-funded projects conducted by the World Bank Group (WBG) that cover comprehensive mapping and geospatial planning, including ground-based data collection. The solar resource estimation of Pakistan was one of the first projects to be approved within the program and leads the way for the solar assessments in other countries. The final and validated dataset ultimately will be published in the International Renewable Energy Agencies' (IRENA) global atlas for renewable energy 2 .