Prediction of higher heating value of coal based on gradient boosting regression tree model

N Xu, Z Wang, Y Dai, Q Li, W Zhu, R Wang… - International Journal of …, 2023 - Elsevier
Higher heating value, also known as the coal calorific value, is an important indicator of coal
quality. Nevertheless, traditional experimental determination of higher heating value is …

Proximate analysis based multiple regression models for higher heating value estimation of low rank coals

AV Akkaya - Fuel Processing Technology, 2009 - Elsevier
In this paper, multiple nonlinear regression models for estimation of higher heating value of
coals are developed using proximate analysis data obtained generally from the low rank …

Estimation of higher heating value of coal based on proximate analysis using support vector regression

P Tan, C Zhang, J Xia, QY Fang, G Chen - Fuel Processing Technology, 2015 - Elsevier
To estimate the higher heating value (HHV) of coals based on proximate analysis, a
nonlinear model termed support vector regression (SVR) is introduced in this work. A total of …

Predicting coal heating values using proximate analysis via a neural network approach

AV Akkaya - Energy Sources, Part A: Recovery, Utilization, and …, 2013 - Taylor & Francis
This article presents lower and higher heating value predictions of low rank coals by means
of a multi-output neural network model, which uses the proximate analysis variables, such …

A novel artificial intelligence technique to estimate the gross calorific value of coal based on meta-heuristic and support vector regression algorithms

HB Bui, H Nguyen, Y Choi, XN Bui, T Nguyen-Thoi… - Applied Sciences, 2019 - mdpi.com
Gross calorific value (GCV) is one of the essential parameters for evaluating coal quality.
Therefore, accurate GCV prediction is one of the primary ways to improve heating value as …

Proximate analysis based prediction of gross calorific value of coals: A comparison of support vector machine, alternating conditional expectation and artificial neural …

Q Feng, J Zhang, X Zhang, S Wen - Fuel Processing Technology, 2015 - Elsevier
The gross calorific value (GCV) of coal is important in both the direct use and conversion into
other fuel forms of coals. The measurement of GCV usually requires sophisticated bomb …

Intelligent prediction of heating value of coal

AK Verma, TN Singh, M Monjezi - 2010 - sid.ir
The gross calorific value (GCV) or heating value of a sample of fuel is one of the important
properties which defines the energy of the fuel. Many researchers have proposed empirical …

Calorific value prediction of coal and its optimization by machine learning based on limited samples in a wide range

K Büyükkanber, H Haykiri-Acma, S Yaman - Energy, 2023 - Elsevier
Measuring the heating value through experimentation is a laborious process that demands
precise instruments and a skilled technician. Due to the challenges associated with …

Prediction of the calorific value of coal deposit using linear regression analysis

S Yerel, T Ersen - Energy Sources, Part A: Recovery, Utilization …, 2013 - Taylor & Francis
Coal quality has prime importance in the production of energy, and thus determining the
quality is useful in planning of coal deposit. The prediction of coal quality, especially calorific …

Prediction of gross calorific value from coal analysis using decision tree-based bagging and boosting techniques

TA Munshi, LN Jahan, MF Howladar, M Hashan - Heliyon, 2024 - cell.com
The calorific value of any fuel is one of the crucial parameters to grade fuel's burning
capability. The bomb calorimeter has historically been used to calculate coal's gross calorific …