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GridTables: A One-Size-Fits-Most H2TAP Data Store

Marcus Pinnecke, Gabriel Campero Durand, David Broneske, Roman Zoun, Gunter Saake
2020 Datenbank-Spektrum  
Heterogeneous Hybrid Transactional Analytical Processing (H 2 TAP) database systems have been developed to match the requirements for low latency analysis of real-time operational data.  ...  In this concept paper, we suggest a highly flexible and adaptive data structure (called GRIDTABLE) to physically organize sparse but structured records in the context of H 2 TAP.  ...  For interested readers, we refer to our other work that explores and investigates GridFormation in a first proposal with reinforcement learning [19, 20] .  ... 
doi:10.1007/s13222-019-00330-x fatcat:wiv4u3zbsrfrfezjfp6c77mdcy

Enhancement of a Short-Term Forecasting Method Based on Clustering and kNN: Application to an Industrial Facility Powered by a Cogenerator

Giulio Vialetto, Marco Noro
2019 Energies  
and machine learning methods are under development and/or being introduced to create values using data.  ...  The connection of sensors to the internet is becoming cheaper and easier (for example, the internet of things, IOT), the cost of data storage and data processing is decreasing, meanwhile artificial intelligence  ...  The HEDEBAR methodology uses data from EPCs to learn the criteria used by the rating system to issue them.  ... 
doi:10.3390/en12234407 fatcat:qcygfp5lzjef3ldv3xxzunzwni