Maximilian Wurm

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Estimating flood risks and managing disasters combines knowledge in climatology, meteorology, hydrology, hydraulic engineering, statistics, planning and geography – thus a complex multi-faceted problem. This study focuses on the capabilities of multi-source remote sensing data to support decision-making before, during and after a flood event. With our focus(More)
The rollout of smart meters and steadily increasing sample rates lead to a growing amount of raw data available for short-term load forecasting (STLF). While the original motivation for high resolutions has been the enabling of non-intrusive load monitoring (NILM), so far their value for STLF has been limited. We propose a novel approach, which allows the(More)
Advanced debug support and trace capabilities are getting ever more important for overcoming the challenges of developing complex real-time embedded systems containing complex Systems-on-Chip (SoCs). Gathering and handling of very large software and system traces becomes a major challenge. We present an approach of recording and fusing software and system(More)
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