Open AccessA NOVEL DATA MINING PROCEDURE GENERATING A TYPICAL ELECTRICAL ENERGY DAILY SHAPE BASED ON VALUES FROM SMART METERING
Author(s) -
SC FDEE Electrica, Brasov, Romania,
Cătălin Mihai,
Marian Pearsica,
Laurian Gherman
Publication year - 2018
Publication title -
review of the air force academy/revista academiei forţelor aeriene "henri coandă"
Language(s) - English
Resource type - Journals
eISSN - 1842-9238
pISSN - 1583-8889
DOI - 10.19062/1842-9238.2018.16.3.8
Subject(s) - metering mode , data mining , set (abstract data type) , computer science , data set , smart meter , representation (politics) , energy (signal processing) , automatic meter reading , external data representation , cluster (spacecraft) , statistical analysis , electricity , artificial intelligence , statistics , engineering , mathematics , telecommunications , politics , mechanical engineering , political science , wireless , programming language , electrical engineering , law
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom