What are the main challenges of using AI in energy efficiency?
Some key challenges include data quality, integration with existing systems, and the need for skilled personnel.
How does data quality affect AI performance in this area?
Poor data quality can lead to inaccurate predictions and ineffective energy management strategies.
What about the integration with existing systems?
Integration can be complex due to legacy systems, requiring significant time and resources to ensure compatibility.
Are there any solutions to these challenges?
Yes, investing in better data collection methods and training programs can help mitigate these challenges.
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