Build the load forecast brief
Use CRISP-DM steps to scope a load forecasting project for energy operations.
A vague "AI load forecast" request has no named decision, metric, user, or deployment path. Use CRISP-DM to narrow the project before modeling: business, data, preparation, modeling, evaluation, deployment. The common shortcut is to train a model on all available meter data and report MAPE. That skips the operating decision and often produces a forecast nobody can use. Before Build an AI model to predict campus load. After By 14:00 each weekday, produce a day-ahead hourly campus load forecast with P50/P90 bands for the energy manager deciding pre-cooling and battery dispatch. Business understanding Decision: pre-cool and battery dispatch for tomorrow's…
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