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Question 1 of 30
GreenTech Innovations, an AI-driven renewable energy company, is pursuing ISO 50003:2021 certification for its energy management system (EnMS). They have implemented a sophisticated AI system that predicts future energy consumption based on weather patterns, production schedules, and equipment performance data. The AI system forecasts a significant shift in energy usage due to a planned factory expansion and the integration of new, energy-efficient technologies. According to ISO 50003:2021, how should GreenTech Innovations integrate the AI system\'s predictive capabilities into the establishment and maintenance of their energy baselines to ensure compliance and maximize the benefits of their AI investment, considering that their historical data does not reflect the upcoming changes? The company\'s energy manager, Anya Sharma, needs to present a plan to the certification body that demonstrates a robust and compliant approach. The certification body requires a clear methodology for integrating AI-driven predictions with the standard\'s requirements for establishing and maintaining energy baselines, especially given the significant changes anticipated in their energy consumption patterns.
Establish the initial energy baseline using historical data, then use the AI system's predictions to refine and adjust the baseline, ensuring transparency and validation of the AI model against actual performance data, while documenting all adjustments and validations for audit purposes.
Discard the historical data entirely and rely solely on the AI system's predictions to establish the energy baseline, as the AI system provides a more accurate representation of future energy consumption patterns.
Maintain the original energy baseline based on historical data and disregard the AI system's predictions, as ISO 50003:2021 emphasizes the importance of historical data for establishing energy baselines.
Create two separate energy baselines: one based on historical data and another based on the AI system's predictions, without integrating them, and use the baseline that shows the most favorable energy performance for reporting purposes.

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