Prediction of HHV of fuel by Machine learning Algorithm ...
Feb 1, 2024 · The investigation explores the relationships between the features and outcomes through Spearman correlation, feature importance analysis, SHAP dependence, and decision …
Data-Driven Machine Learning Approach for Predicting the Higher …
Higher heating value (HHV) is a very useful parameter for assessing the design and large-scale operation of biomass-fueled energy systems. HHV provides an indication of biomass quality as …
Applying feature selection and machine learning techniques to …
Sep 26, 2023 · Precise laboratory measurement or accurate prediction of the HHV is essential for designing biomass conversion equipment. The current study combines feature selection …
Evaluating HHV Prediction Equations Using Proximate and …
Sep 27, 2024 · This study not only makes a scholarly contribution to the expanding field of biomass energy research, but it also emphasizes the criticality of employing equations that are …
Evaluation of Models for the Prediction of higher Heating Value …
Aug 1, 2023 · In this research, proximate analysis and HHV of ten common biomass samples in Nigeria were determined. The biomass considered included rice husk, rice straw, corn cob, …
Prediction of HHV of fuel by Machine learning Algorithm ...
This study presents a novel approach using machine learning techniques to estimate waste materials' higher heating value (HHV), which plays a crucial role in waste-to-energy generation …
Biomass higher heating value prediction machine learning …
Feb 2, 2024 · In this study machine learning (ML) models have been employed to predict the higher heating value (HHV) of biomass by utilizing input variables derived from ultimate, …
Predictability of higher heating value of biomass feedstocks via ...
Jul 15, 2022 · In this study, a detailed state-of-the-art ANN model was developed to produce a comprehensive understanding to predict biomass feedstocks HHV basing on PA and UA …
In this paper we present a comparative qualitative and quantitative analysis of thirteen different algorithms, four different acti- vation functions (logsig, tansig, poslin, purelin) with a wide range …
Prediction of HHV of fuel by Machine learning Algorithm ...
This study presents a novel approach using machine learning techniques to estimate waste materials' higher heating value (HHV), which plays a crucial role in waste-to-energy generation …