Machine learning technology in biodiesel research: A review

M Aghbashlo, W Peng, M Tabatabaei… - Progress in Energy and …, 2021 - Elsevier
Biodiesel has the potential to significantly contribute to making transportation fuels more
sustainable. Due to the complexity and nonlinearity of processes for biodiesel production …

Carbon material/MnO2 as conductive skeleton for supercapacitor electrode material: A review

T Yue, B Shen, P Gao - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
In the current background of energy and the environment, as a new type of energy storage
device between secondary batteries and capacitors, supercapacitors have received …

Modeling of solar energy systems using artificial neural network: A comprehensive review

AH Elsheikh, SW Sharshir, M Abd Elaziz, AE Kabeel… - Solar Energy, 2019 - Elsevier
The development of different solar energy (SE) systems becomes one of the most important
solutions to the problem of the rapid increase in energy demand. This may be achieved by …

Review of meta-heuristic algorithms for wind power prediction: Methodologies, applications and challenges

P Lu, L Ye, Y Zhao, B Dai, M Pei, Y Tang - Applied Energy, 2021 - Elsevier
The integration of large-scale wind power introduces issues in modern power systems
operations due to its strong randomness and volatility. These issues can be resolved via …

Wind energy conversions, controls, and applications: a review for sustainable technologies and directions

MA Hannan, AQ Al-Shetwi, MS Mollik, PJ Ker… - Sustainability, 2023 - mdpi.com
The use of renewable energy techniques is becoming increasingly popular because of
rising demand and the threat of negative carbon footprints. Wind power offers a great deal of …

A review of the use of artificial neural network models for energy and reliability prediction. A study of the solar PV, hydraulic and wind energy sources

J Ferrero Bermejo, JF Gómez Fernández… - Applied Sciences, 2019 - mdpi.com
The generation of energy from renewable sources is subjected to very dynamic changes in
environmental parameters and asset operating conditions. This is a very relevant issue to be …

Application of ANN technique to predict the performance of solar collector systems-A review

HK Ghritlahre, RK Prasad - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
The solar collector is the heart of any solar energy collection system designed for operation
in the low to medium temperature ranges. So, an efficient design of solar collector system …

[HTML][HTML] Artificial intelligence in renewable systems for transformation towards intelligent buildings

Y Zhou - Energy and AI, 2022 - Elsevier
Carbon-neutrality transition in building sectors requires combinations of renewable systems
and artificial intelligence (AI) for robustness, reliability, automation, and flexibility. In this …

Hybrid wind/photovoltaic energy system developments: Critical review and findings

A Mahesh, KS Sandhu - Renewable and Sustainable Energy Reviews, 2015 - Elsevier
Renewable energy sources are certain to play a key role in the future energy generation due
to the rapid depletion of conventional sources of energy. The solar and wind energy are the …

Prediction of SOx–NOx emission from a coal-fired CFB power plant with machine learning: Plant data learned by deep neural network and least square support vector …

D Adams, DH Oh, DW Kim, CH Lee, M Oh - Journal of Cleaner Production, 2020 - Elsevier
The circulating fluidized bed boiler is an advanced clean energy technology that has
received much attention in the power industry due to its fuel flexibility. In this study, a deep …