The German energy industry is in flux. Renewable energies, unbundling of energy supply chains and increasing competition pressure require innovative approaches to the organization of energy distribution. The Internet of Energy epitomizes the technological framework for the energy market of the future. It allows decentralized control and more efficient use of renewable energy. However its structure and organization is widely unclear. The project "Smart Watts" aims to create a scalable, efficient and secure framework for market communication in the energy sector. First requirement for such an infrastructure is an identification service. The Energy Name Service (ENS) enables the identification of elements within the Internet of Energy and provides the functionality to retrieve additional information on the elements.
Abstract-When Internet users search for information, surf on websites or discuss with others, their actions are driven by certain goals. Extraction of users' goals can enable higher effectiveness and accuracy of web services. Supporting users in based on their goals can be highly beneficial, especially supporting of learners in the preparation for an exam as a learning process, Different phases of learning are identified when users learn collaboratively. We scrutinize how goals are constructed and achieved within a community, examining not only social activities based on patterns of behavior, but also emotions and intents users express in their posts. As a result we elicit users' goals. We achieved good accuracy in defining emotions of users and recognizing their intents and social patterns in our case. Here we discuss how the obtained results contribute to mining of learning community goals.
Germany pushes its energy industry towards renewable energy sources which results in an increase of distributed energy generation. Therefore, energy supply will fluctuate more and more and companies need to react to higher and volatile prices as well as to a fluctuating supply of energy. One reaction is to reactively consider these changing prices and supply of energy within production planning and control (PPC). PPC therefore acts as a control unit to integrate volatile energy supply into the production process. Within this paper a scenario is considered where a virtual power plant (VPP) combines different types of distributed energy generation. Energy simulation is then used to demonstrate how fluctuating energy prices can be considered within PPC.
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