Residential electricity load decomposition method based on maximum a posteriori probability
Author(s) -
Guangpu Shan,
Heng Zhou,
Song Liu,
Peng Liu
Publication year - 2017
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/1.4982407
Subject(s) - decomposition , electricity , computer science , maximum a posteriori estimation , a priori and a posteriori , load management , electrical load , decomposition method (queueing theory) , bayesian probability , state (computer science) , mathematical optimization , power (physics) , electric power system , algorithm , mathematics , engineering , electrical engineering , maximum likelihood , statistics , artificial intelligence , voltage , ecology , philosophy , physics , epistemology , quantum mechanics , biology
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