Utilization of green ammonia as a hydrogen energy carrier for decarbonization in spark ignition engines
C Kurien, M Mittal - International Journal of Hydrogen Energy, 2023 - Elsevier
Rising concerns about the dependence of modern energy systems on fossil fuels have
raised the requirement for green alternate fuels to pave the roadmap for a sustainable …
raised the requirement for green alternate fuels to pave the roadmap for a sustainable …
Modeling daily global solar radiation using only temperature data: Past, development, and future
Accurate determination on global solar radiation (R s) is essential in many disciplines and
sectors. This study comprehensively reviewed 78 existing models and developed 4 new …
sectors. This study comprehensively reviewed 78 existing models and developed 4 new …
Forecasting of transportation-related energy demand and CO2 emissions in Turkey with different machine learning algorithms
Ü Ağbulut - Sustainable Production and Consumption, 2022 - Elsevier
Adverse impacts of the transportation sector on not only air quality but also economic growth
of a country are nowadays well-noticed, particularly by developing countries. Today, the …
of a country are nowadays well-noticed, particularly by developing countries. Today, the …
Electricity production based forecasting of greenhouse gas emissions in Turkey with deep learning, support vector machine and artificial neural network algorithms
MS Bakay, Ü Ağbulut - Journal of Cleaner Production, 2021 - Elsevier
Today, the world's primary energy demand has been met by the burning of fossil-based fuels
at a rate of 85%. This dominant use of fossil-based fuels has led to an accelerating increase …
at a rate of 85%. This dominant use of fossil-based fuels has led to an accelerating increase …
Experimental investigation and prediction of performance and emission responses of a CI engine fuelled with different metal-oxide based nanoparticles–diesel blends …
Ü Ağbulut, AE Gürel, S Sarıdemir - Energy, 2021 - Elsevier
Abstract Deep learning (DL), Artificial Neural Network (ANN), Kernel Nearest Neighbor (k-
NN), and Support Vector Machine (SVM) have been applied to numerous fields owing to …
NN), and Support Vector Machine (SVM) have been applied to numerous fields owing to …
[HTML][HTML] Global solar radiation prediction over North Dakota using air temperature: development of novel hybrid intelligence model
Accurate solar radiation (SR) prediction is one of the essential prerequisites of harvesting
solar energy. The current study proposed a novel intelligence model through hybridization of …
solar energy. The current study proposed a novel intelligence model through hybridization of …
Generalized Extreme Gradient Boosting model for predicting daily global solar radiation for locations without historical data
Abstract Information on global solar radiation (R s) is indispensable in many fields. However,
reliable measurements of R s are challenging worldwide because of high costs and …
reliable measurements of R s are challenging worldwide because of high costs and …
Prediction of interface bond strength between ultra-high-performance concrete (UHPC) and normal strength concrete (NSC) using a machine learning approach
AIB Farouk, Z Jinsong - Arabian Journal for Science and Engineering, 2022 - Springer
Ultra-high-performance concrete (UHPC) is suitable for repairing and strengthening
damaged normal strength concrete (NSC) structures due to its excellent qualities. However …
damaged normal strength concrete (NSC) structures due to its excellent qualities. However …
Development of global solar radiation models: A comprehensive review and statistical analysis for Indian regions
The number of developed Global Solar Radiation models is relatively high, making it
challenging to choose the most appropriate solar conversion system model. However, there …
challenging to choose the most appropriate solar conversion system model. However, there …
Predicting daily global solar radiation in various climatic regions of China based on hybrid support vector machines with meta-heuristic algorithms
Z Wu, N Cui, D Gong, F Zhu, Y Li, L Xing… - Journal of Cleaner …, 2023 - Elsevier
Accurate prediction of global solar radiation (R s) is vital for investment decisions and solar
energy distribution. In this study, three hybrid models (ACO-SVM, CS-SVM, and GWO-SVM) …
energy distribution. In this study, three hybrid models (ACO-SVM, CS-SVM, and GWO-SVM) …