Publications by authors named "Ahmet Cosgun"
Article Synopsis
- Energy production is essential for human activities but is a major contributor to global warming, making sustainable energy vital for meeting UN Sustainable Development Goals (SDGs), especially SDG7.
- Machine learning (ML) has the potential to significantly enhance sustainable energy practices through applications in energy production, storage, and forecasting, while also addressing planning activities to support SDG achievement.
- Despite challenges like high energy consumption and the risk of increasing inequalities, ML can still make important contributions by improving data monitoring, planning global efforts, and advancing more sustainable energy technologies.
Biochar has a wide range of applications, including environmental management, such as preventing soil and water pollution, removing heavy metals from water sources, and reducing air pollution. However, there are several challenges associated with the usage of biochar for these purposes, resulting in an abundance of experimental data in the literature. Accordingly, the purpose of this study is to examine the use of machine learning in biochar processes with an eye toward the potential of biochar in environmental remediation.
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