EnDM 2012 - 1st Workshop on Energy Data Management (EnDM 2012)
Topics/Call fo Papers
This workshop focuses on conceptual and system architecture issues related to the management of very large-scale data sets specifically in the context of the challenging energy domain.
The energy sector is one of the most active application domains being forced to re-think the current practice and apply data-management based IT solutions to provide a scalable and sustainable supply and distribution of energy. Challenges range from energy production by seamlessly incorporating renewable energy resources over energy distribution and monitoring to controlling energy consumption. Decisions are based on huge amounts of empirically collected data from smart meters, new energy sources (increasingly RES - renewable energy sources such as wind, solar, hydro, thermal, etc), new distributions mechanisms (Smart Grid), and new types of consumers and devices, e.g., electric cars. Energy is at the top of the worldwide political agenda, ambitious goals for reductions of energy consumption and CO2 emissions have been formulated, and research funding is increasing rapidly.
This workshop focuses on conceptual and system architecture issues related to the management of very large-scale data sets specifically in the context of the energy domain. The overall goal is to bridge the gap between domain experts and data management scientists on the one hand. On the other hand, the workshop’s goal is to create awareness of this upcoming and very challenging application area. For the workshop’s research program, we are seeking contributions that push the envelope towards novel schemes for large-scale data processing with special focus on energy data management.
The energy sector is one of the most active application domains being forced to re-think the current practice and apply data-management based IT solutions to provide a scalable and sustainable supply and distribution of energy. Challenges range from energy production by seamlessly incorporating renewable energy resources over energy distribution and monitoring to controlling energy consumption. Decisions are based on huge amounts of empirically collected data from smart meters, new energy sources (increasingly RES - renewable energy sources such as wind, solar, hydro, thermal, etc), new distributions mechanisms (Smart Grid), and new types of consumers and devices, e.g., electric cars. Energy is at the top of the worldwide political agenda, ambitious goals for reductions of energy consumption and CO2 emissions have been formulated, and research funding is increasing rapidly.
This workshop focuses on conceptual and system architecture issues related to the management of very large-scale data sets specifically in the context of the energy domain. The overall goal is to bridge the gap between domain experts and data management scientists on the one hand. On the other hand, the workshop’s goal is to create awareness of this upcoming and very challenging application area. For the workshop’s research program, we are seeking contributions that push the envelope towards novel schemes for large-scale data processing with special focus on energy data management.
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Last modified: 2011-10-18 14:42:34