Machine learning on sustainable energy: A review and outlook on renewable energy systems, catalysis, smart grid and energy storage

D Rangel-Martinez, KDP Nigam… - … Research and Design, 2021 - Elsevier
This study presents a broad view of the current state of the art of ML applications in the
manufacturing sectors that have a considerable impact on sustainability and the …

Applications of artificial intelligence‐based modeling for bioenergy systems: A review

M Liao, Y Yao - GCB Bioenergy, 2021 - Wiley Online Library
Bioenergy is widely considered a sustainable alternative to fossil fuels. However, large‐
scale applications of biomass‐based energy products are limited due to challenges related …

Assessment of the ground vibration during blasting in mining projects using different computational approaches

S Hosseini, J Khatti, BO Taiwo, Y Fissha, KS Grover… - Scientific Reports, 2023 - nature.com
The investigation compares the conventional, advanced machine, deep, and hybrid learning
models to introduce an optimum computational model to assess the ground vibrations …

Estimation of higher heating values (HHVs) of biomass fuels based on ultimate analysis using machine learning techniques and improved equation

AS Noushabadi, A Dashti, F Ahmadijokani, J Hu… - Renewable Energy, 2021 - Elsevier
To have a sustainable economy and environment, several countries have widely inclined to
the utilization of non-fossil fuels like biomass fuels to produce heat and electricity. The …

Syngas production from air-steam gasification of biomass with natural catalysts

Y Tian, X Zhou, S Lin, X Ji, J Bai, M Xu - Science of the Total Environment, 2018 - Elsevier
Biomass has a great potential for production of syngas and chemicals; however, it has stood
in the shadow of natural gas (NG) and coal due to technical problems and issues such as tar …

Effects of leadership style on job satisfaction and intention to stay in ship** industry

C Yao, P Huang - Journal of Coastal Research, 2018 - meridian.allenpress.com
ABSTRACT Yao, C. and Huang, P., 2018. Effects of leadership style on job satisfaction and
intention to stay in ship** industry. In: Liu, ZL and Mi, C.(eds.), Advances in Sustainable …

Integration of anaerobic digestion with artificial intelligence to optimise biogas plant operation

S Swami, S Suthar, R Singh, AK Thakur… - Environment …, 2023 - Springer
Energy plays a vital role in executing domestic and industrial activities on a daily basis and
therefore, it is fundamental to the development of any nation. Energy obtained from …

Estimation of coal elemental composition from proximate analysis using machine learning techniques

Z Ceylan, B Sungur - Energy Sources, Part A: Recovery, Utilization …, 2020 - Taylor & Francis
Knowing the properties of coal, which is still the most widely used among primary energy
sources, is critical for determining the application area and the technology to be applied. The …

Enhancing air compressors multi fault classification using new criteria for Harris Hawks optimization algorithm in tandem with MODWPT and LSSVM classifier

C Rahmoune, M Amine Sahraoui… - Advances in …, 2023 - journals.sagepub.com
The evolution of industrial systems toward Industry 4.0 presents the challenge of develo**
robust and accurate models. In this context, feature selection plays a pivotal role in refining …

Incorporation of Nanocatalysts for the Production of Bio-Oil from Staphylea holocarpa Wood

Y Li, G Li, Y Yang, X Chen, W Peng, H Li - Polymers, 2022 - mdpi.com
Biomass has been recognized as the most common source of renewable energy. In recent
years, researchers have paved the way for a search for suitable biomass resources to …