Integration of genetic algorithm, computer simulation and design of experiments for forecasting electrical energy consumption

This study presents an integrated algorithm for forecasting monthly electrical energy consumption based on genetic algorithm (GA), computer simulation and design of experiments using stochastic procedures. First, time-series model is developed as a benchmark for GA and simulation. Computer simulatio...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Energy policy Ročník 35; číslo 10; s. 5229 - 5241
Hlavní autoři:	Azadeh, A., Tarverdian, S.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Oxford Elsevier Ltd 01.10.2007 Elsevier Elsevier Science Ltd
Edice:	Energy Policy
Témata:	Algorithms Applied sciences Computer simulation Computers Design Design of experiments Economic data Electric energy Electricity Electricity consumption Energy Energy consumption Energy economics Exact sciences and technology Experiments Forecasting Forecasts General, economic and professional studies Genetic algorithm Genetic algorithms Genetics Hypotheses Iran Methodology. Modelling Null hypothesis Simulation Stochastic models Studies Time series Treatment methods Variance analysis Iran Simulation Genetic algorithm Electricity consumption Experimental test Methodology Computer simulation Experimental design Time series Electric power consumption Forecasting Monthly variation
ISSN:	0301-4215, 1873-6777
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!