[HTML][HTML] Edible oil wholesale price forecasts via the neural network
X Xu, Y Zhang - Energy Nexus, 2023 - Elsevier
For a wide spectrum of agricultural market participants, building price forecasts of various
agricultural commodities has always been a vital project. In this work, we approach this …
agricultural commodities has always been a vital project. In this work, we approach this …
Development of integrative data intelligence models for thermo-economic performances prediction of hybrid organic rankine plants
Computer aid models such as machine learning (ML) are massively observed to be
successfully applied in different engineering-related domains. The current research was …
successfully applied in different engineering-related domains. The current research was …
Ensemble hybrid machine learning to simulate dye/divalent salt fractionation using a loose nanofiltration membrane
The escalating quantity of wastewater from multiple sources has raised concerns about both
water reuse and environmental preservation. Therefore, there is a pressing need for …
water reuse and environmental preservation. Therefore, there is a pressing need for …
[HTML][HTML] In-depth physico-chemical characterisation and estimation of the grid power potential of municipal solid wastes in Abuja city
UA Dodo, EC Ashigwuike - Energy Nexus, 2023 - Elsevier
Ineffective municipal solid waste (MSW) management is one of the major impediments to the
realisation of sustainable development goals by developing countries. Prudent waste …
realisation of sustainable development goals by developing countries. Prudent waste …
Exploring Insights in Biomass and Waste Gasification via Ensemble Machine Learning Models and Interpretability Techniques
This comprehensive review delves into the intersection of ensemble machine learning
models and interpretability techniques for biomass and waste gasification, a field crucial for …
models and interpretability techniques for biomass and waste gasification, a field crucial for …
[HTML][HTML] Bearings faults and limits in wind turbine generators
RMA Velásquez - Results in Engineering, 2024 - Elsevier
The detection of sudden faults in wind turbine generator (WTG) is a complex task, especially
in bearings. Usually, the evaluation of methodologies such as vibration, ultrasound, and …
in bearings. Usually, the evaluation of methodologies such as vibration, ultrasound, and …
Spatial analysis and predictive modeling of energy poverty: insights for policy implementation
S Gawusu, SA Jamatutu, X Zhang, ST Moomin… - Environment …, 2024 - Springer
Understanding and alleviating energy poverty is critical for sustainable development. This
study harnesses a suite of Machine Learning (ML) algorithms to predict Multidimensional …
study harnesses a suite of Machine Learning (ML) algorithms to predict Multidimensional …
[HTML][HTML] Comparative study of different training algorithms in backpropagation neural networks for generalized biomass higher heating value prediction
When selecting biomass feedstock for sustainable heat and electricity generation, higher
heating value (HHV) is an important consideration. Meanwhile, the laboratory procedures of …
heating value (HHV) is an important consideration. Meanwhile, the laboratory procedures of …
Bio-communal wastewater treatment plant real-time modeling using an intelligent meta-heuristic approach: A sustainable and green ecosystem
Considering the importance of nitrogen and organic carbon in supporting the growth of
various algae and organic matters, that improves eutrophication along the water bodies. It is …
various algae and organic matters, that improves eutrophication along the water bodies. It is …
Higher heating value prediction of high ash gasification-residues: Comparison of white, grey, and black box models
The measurement of the higher heating value (HHV) in high-ash solid waste poses
persistent challenges due to the inherent limitations of using an oxygen bomb calorimeter …
persistent challenges due to the inherent limitations of using an oxygen bomb calorimeter …