Summary of Present and Future Of Ai in Renewable Energy Domain : a Comprehensive Survey, by Abdur Rashid et al.
Present and Future of AI in Renewable Energy Domain : A Comprehensive Survey
by Abdur Rashid, Parag Biswas, Angona Biswas, MD Abdullah Al Nasim, Kishor Datta Gupta, Roy George
First submitted to arxiv on: 22 Jun 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Artificial Intelligence (cs.AI); Computers and Society (cs.CY)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary In this paper, researchers investigate the application of artificial intelligence (AI) in the electrical power systems sector, specifically exploring its potential to streamline processes and improve efficiency. The authors perform a thorough literature review on AI applications related to renewable energy, identifying nine strategies that can assist renewable energy factories. These include AI-based methods for renewable power generation, forecasting, and optimization. The paper also highlights the advantages of AI over conventional models in terms of controllability, data handling, cyberattack prevention, smart grid implementation, and robotics. Additionally, the authors discuss the future directions in integrating AI with renewable energy. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary AI is used to streamline processes in various industries, including electrical power systems. This paper looks at how AI can help with renewable energy by identifying nine strategies that can assist renewable energy factories. It also compares AI with traditional methods and shows how it’s better for things like controlling data, preventing cyberattacks, and implementing smart grids. |
Keywords
» Artificial intelligence » Optimization
