Open AccessSelection of a set of earthmoving equipment in the aspect minimizing the emission of CO2
Author(s) -
Magdalena Rogalska
Publication year - 2013
Publication title -
budownictwo i architektura
Language(s) - English
Resource type - Journals
eISSN - 1899-0665
pISSN - 2544-3275
DOI - 10.35784/bud-arch.1978
Subject(s) - excavator , selection (genetic algorithm) , set (abstract data type) , autocorrelation , sensitivity (control systems) , engineering , computer science , statistics , mathematics , artificial intelligence , civil engineering , programming language , electronic engineering
The aim of the calculation is to allow the selection of a set of earthmoving machinery in terms of minimizing the emission of CO2. The capacity of excavators and CO2 emission of set of machines was predicted. The forecasting methods: multiple regression and neural networks were used. The analysis of autocorrelation and partial autocorrelation residuals and sensitivity analysis were performed. The MAPE errors of forecasts were calculated. The calculation example in terms of selection of machines emission of carbon dioxide on the basis of forecasting models was performed.