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Function of machine learning in attaining environmental sustainability

  • Unique Paper ID: 180897
  • Volume: 12
  • Issue: 1
  • PageNo: 3631-3635
  • Abstract:
  • Sustainable development and climate change are important issues that need to be tackled right away. Because of this goal, the renewable energy (RE) sector has grown significantly, and artificial intelligence (AI) is being used to increase the sector's overall efficiency. To achieve the Sustainable Development Goals (SDGs), however, they Given its recent significant rise in popularity and growing influence on the global energy sector, more research is required to determine whether renewable energy (RE) can help us achieve our sustainable development goals. Furthermore, an evaluation of AI being carried out has the potential to help accomplish the Sustainable Development Goals. In order to achieve environmental sustainability using solar panels, we classify the radiative energy flux at the earth's surface using a machine learning model that we developed using regression rigging. A number of variables are provided as input to the model, which considers the data modelling to determine environmental sustainability. The purpose of the simulation is to evaluate the model's effectiveness in achieving environmental sustainability, and the outcomes demonstrate that it is more sustainable than alternative approaches.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 12
  • Issue: 1
  • PageNo: 3631-3635

Function of machine learning in attaining environmental sustainability

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