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AI-FOR-ENERGY5 MIN READ

Start with the operating decision

Frame an AI-for-energy project around the operating decision it must improve.

The move: define the decision before the model. CRISP-DM treats business understanding as the first phase because data mining is a means, not the objective. In AI-for-energy work, the business problem is usually an operating decision under constraints: when to dispatch a battery, which asset to inspect, how much load to shift, or whether to trust a forecast during a weather swing. Decision Name the decision in operational language. "Reduce energy" is too broad. "Shift chiller load out of the 16:00-19:00 peak tariff window without breaking comfort limits" is a real decision. The clearer the decision, the clearer the model…

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