Summary of Ai-driven Approaches For Optimizing Power Consumption: a Comprehensive Survey, by Parag Biswas et al.
AI-Driven Approaches for Optimizing Power Consumption: A Comprehensive Survey
by Parag Biswas, Abdur Rashid, Angona Biswas, Md Abdullah Al Nasim, Kishor Datta Gupta, Roy George
First submitted to arxiv on: 22 Jun 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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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 This paper explores the importance of power optimization in achieving a stable and sustainable energy supply. By leveraging artificial intelligence (AI) and predictive analytics, real-time monitoring and analysis of power usage trends are made possible, enabling dynamic modifications to optimize energy utilization. The integration of AI with power optimization is crucial for changing the way energy is produced, used, and distributed. This paper presents an extensive review of various AI techniques used in power optimization, including intelligent systems that increase efficiency and sustainability across different sectors. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Artificial intelligence (AI) can help us use energy more wisely by analyzing how much energy we’re using and adjusting our usage in real-time. This is important because it helps reduce waste and makes sure we have a stable energy supply for the future. The paper looks at many ways that AI is being used to optimize power consumption, including smart systems that make things more efficient and sustainable. |
Keywords
» Artificial intelligence » Optimization
