An optimal hybrid model for atomic power generation prediction in Japan

Energy

Volumn 45, Issue 1, 2012, Pages 655-661

  Li, Guo Dong ^a   Masuda, Shiro ^a   Nagai, Masatake ^b  

^a TOKYO METROPOLITAN UNIVERSITY   (Japan)

^b KANAGAWA UNIVERSITY   (Japan)

Author keywords

Atomic power generation prediction; Exponential smoothing (ES) method; Grey model GM(1,1); Markov chain model; Taylor approximation method

Indexed keywords

APPROXIMATION THEORY; ATOMS; OPTIMIZATION; SYSTEM THEORY;

DATA SETS; EXPONENTIAL SMOOTHING; GM (1 , 1); GREY MODEL; GREY SYSTEM THEORY; HYBRID MODEL; MARKOV CHAIN MODELS; OPTIMAL COEFFICIENT; PREDICTION ACCURACY; PREDICTION CAPABILITY; PREDICTION PROBLEM; TAYLOR APPROXIMATION;

FORECASTING;

ACCURACY ASSESSMENT; MARKOV CHAIN; MODEL VALIDATION; NUCLEAR POWER; NUCLEAR POWER PLANT; OPTIMIZATION; PREDICTION;

JAPAN;

EID: 84865416261     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2012.07.031     Document Type: Article

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