The Prediction Model and Application for Net Calorific Value of Biomass Power Plant Fuel
2013 ◽
Vol 781-784
◽
pp. 2420-2424
Keyword(s):
A quantitative multivariate linear regression equation is established with the net calorific value of woody biomass fuel as the dependent variable and proximate analysis indexes as the independent variables. The prediction effect of the regression model is evaluated by the error analysis method. Results show that within the variable application ranges, the prediction error of the multiple linear regression model developed is small, and it could provide basis and reference for the calorific value prediction of woody biomass.
2021 ◽
Vol 2
(2)
◽
pp. 75-87
2020 ◽
Vol 2
(1)
◽
pp. 19
2020 ◽
Vol 1
(2)
◽
pp. 19-28
2015 ◽
Vol 48
(4)
◽
pp. 502-529
◽
2019 ◽
Vol 8
(9)
◽
pp. 3115-3121
2017 ◽
2021 ◽
Vol 58
◽
pp. 004695802110562