A comprehensive review of Artificial Intelligence (AI) companies in the power sector
There is an ongoing, revolutionary transformation occurring across the globe. This
transformation is altering established processes, disrupting traditional business models and …
transformation is altering established processes, disrupting traditional business models and …
[HTML][HTML] Artificial Intelligence in Net-Zero Carbon Emissions for Sustainable Building Projects: A Systematic Literature and Science Mapping Review
Artificial intelligence (AI) has emerged as an effective solution to alleviate excessive carbon
emissions in sustainable building projects. Although there are numerous applications of AI …
emissions in sustainable building projects. Although there are numerous applications of AI …
Performance augmentation and machine learning-based modeling of wavy corrugated solar air collector embedded with thermal energy storage: Support vector …
At present, artificial intelligence methods have been effectively utilized for predicting the
complex performance of storage-based solar thermal technologies for cooling/heating …
complex performance of storage-based solar thermal technologies for cooling/heating …
Spatial modelling the location choice of large-scale solar photovoltaic power plants: Application of interpretable machine learning techniques and the national …
Y Sun, D Zhu, Y Li, R Wang, R Ma - Energy Conversion and Management, 2023 - Elsevier
The optimum site selection of solar photovoltaics power plant across a given geographic
space is usually assessed by using the geographic information system based multi-criteria …
space is usually assessed by using the geographic information system based multi-criteria …
Machine learning based prediction and experimental validation of arsenite and arsenate sorption on biochars
Arsenic (As) contamination in water is a significant environmental concern with profound
implications for human health. Accurate prediction of the adsorption capacity of arsenite [As …
implications for human health. Accurate prediction of the adsorption capacity of arsenite [As …
Acetone–Gasoline blend as an alternative fuel in SI engines: a novel comparison of performance, emission, and lube oil degradation
The disproportionate use of petroleum products and stringent exhaust emissions has
emphasized the need for alternative green fuels. Although several studies have been …
emphasized the need for alternative green fuels. Although several studies have been …
[HTML][HTML] Machine learning based modelling and optimization of post-combustion carbon capture process using MEA supporting carbon neutrality
WM Ashraf, V Dua - Digital Chemical Engineering, 2023 - Elsevier
The role of carbon capture technology using monoethanolamine (MEA) is critical for
achieving the carbon-neutrality goal. However, maintaining the efficient operation of the post …
achieving the carbon-neutrality goal. However, maintaining the efficient operation of the post …
Multi-objective optimization of methanol production for energy efficiency and environmental sustainability
In this study, a syngas-to-methanol synthesis plant is modeled using Aspen Plus and
optimized using MATLAB-NSGA-II algorithm to simultaneously minimize total annual gas …
optimized using MATLAB-NSGA-II algorithm to simultaneously minimize total annual gas …
Predictive modelling framework on the basis of artificial neural network: a case of nano-powder mixed electric discharge machining
In this modern era where Industry 4.0, plays a crucial role in enhancing productivity, quality,
and resource utilization by digitalizing and providing smart operation to industrial systems …
and resource utilization by digitalizing and providing smart operation to industrial systems …
[HTML][HTML] Machine Learning for Optimising Renewable Energy and Grid Efficiency
This research investigates the application of machine learning models to optimise
renewable energy systems and contribute to achieving Net Zero emissions targets. The …
renewable energy systems and contribute to achieving Net Zero emissions targets. The …