Title :
NilmDB: The Non-Intrusive Load Monitor Database
Author :
Paris, James ; Donnal, John S. ; Leeb, Steven B.
Author_Institution :
Electr. Eng. & Comput. Sci. Dept., Massachusetts Inst. of Technol., Cambridge, MA, USA
Abstract :
This paper presents NilmDB, a comprehensive framework designed to solve the “big data” problem of non-intrusive load monitoring and diagnostics. It provides the central component of a flexible, distributed architecture for the storage, transfer, manipulation, and analysis of time-series data. NilmDB is network-transparent and facilitates remote viewing and management of large data sets by utilizing efficient data reduction and indexing techniques.
Keywords :
data reduction; indexing; power engineering computing; power system measurement; NilmDB network; big data analytics problem; data reduction; distributed architecture; nonintrusive load monitor database; power system monitoring; time series data; Bandwidth; Data mining; Distributed databases; Monitoring; Servers; Vegetation; Big data; intelligent power metering; nonintrusive load monitoring; smart grid;
Journal_Title :
Smart Grid, IEEE Transactions on
DOI :
10.1109/TSG.2014.2321582
