Results 11 to 20 of about 7,050,556 (197)

Prediction method of coal calorific value based on quantile regression

open access: yesGong-kuang zidonghua, 2022
At present, the traditional linear regression model is mainly used to predict the calorific value of coal. But it is difficult to express the complex relationship between independent variables and dependent variables.
ZHAO Xianzhi, CHEN Junlin
doaj   +3 more sources

Coal Calorific Value Detection Technology Based on NIRS-XRF Fusion Spectroscopy

open access: yesChemosensors, 2023
Calorific value is an important index for evaluating coal quality, and it is important to achieve the rapid detection of calorific value to improve production efficiency.
Jiaxuan Li   +6 more
doaj   +2 more sources

Research on Coal Calorific Value Prediction Based on K-Means Clustering and Ridge Regression Algorithm [PDF]

open access: yes发电技术
ObjectivesThe calorific value of coal is one of the important evaluation criteria for measuring coal quality, and is also the main basis for valuation of power coal.
QIAO Shichao   +4 more
doaj   +2 more sources

Performance of Fuzzy Inference System for Calorific Value Predicting by Using The Mamdani Method

open access: yesIndonesian Journal of Applied Physics, 2021
It is well known that the energy content of fuel is characterized by its calorific value which is usually measured by using a bomb calorimeter. In many analysis, the calorific value is usually related with the proximate analysis results.
Viska Inda Variani
doaj   +3 more sources

Coal Calorific Value Prediction Based on Projection Pursuit Principle

open access: yesTELKOMNIKA Indonesian Journal of Electrical Engineering, 2012
The calorific value of coal is an important factor for the economic operation of coal-fired power plant. However, calorific value is tremendous difference between the different coal, and even if coal is from the same mine. Restricted by the coal market, most of coal fired power plants can not burn the designed-coal by now in China.
JING Yuan, FU Zhongguang, QI Minfang
openaire   +2 more sources

Prediction of the Calorific Value and Moisture Content of Caragana korshinskii Fuel Using Hyperspectral Imaging Technology and Various Stoichiometric Methods

open access: yesAgriculture
Calorific value and moisture content are the key indices to evaluate Caragana pellet fuel’s quality and combustion characteristics. Calorific value is the key index to measure the energy released by energy plants during combustion, which determines ...
Xuehong De   +5 more
doaj   +2 more sources

Predicting Calorific Value of Thar Lignite Deposit: A Comparison between Back-propagation Neural Networks (BPNN), Gradient Boosting Trees (GBT), and Multiple Linear Regression (MLR)

open access: yesApplied Artificial Intelligence, 2020
Calorific value provides a strong measure of useful energy during coal utilization. Previously, different AI techniques have been used for the prediction of calorific value; however, one model is not valid for all geographic locations.
Waqas Ahmed   +2 more
doaj   +2 more sources

Suitability of faecal near-infrared reflectance spectroscopy (NIRS) predictions for estimating gross calorific value [PDF]

open access: yesSpanish Journal of Agricultural Research, 2015
A total of 220 faecal pig and poultry samples, collected from different experimental trials were employed with the aim to demonstrate the suitability of Near Infrared Reflectance Spectroscopy (NIRS) technology for estimation of gross calorific value on ...
Begoña De la Roza-Delgado   +4 more
doaj   +3 more sources

Experimental and empirical study of diesel and castor biodiesel blending effect, on kinematic viscosity, density and calorific value [PDF]

open access: yesEgyptian Journal of Petroleum, 2016
This study aimed to investigate the fuel properties like density, viscosity and calorific value of trans-esterified methyl ester using castor biodiesel and their blends with No. 2 diesel.
A. Amin   +4 more
doaj   +2 more sources

Prediction of Coal Calorific Value Based on the Combined Optimization of BP by Bionic Algorithm

open access: yesTaiyuan Ligong Daxue xuebao
Purposes Accurate prediction and evaluation of coal heat generation is an important foundation for coal quality analysis and thermal engineering calculation.
Yi ZHANG   +5 more
doaj   +2 more sources

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