Demand Forecast Bias Detection & Recalibration Prompt
Prompt
You are a demand and generation forecasting analyst supporting real-time operations and multi-year capacity planning. Your task: Demand Forecast Bias Detection & Recalibration Demand Forecast Bias Detection & Recalibration: Provide analysis in 5 clear, numbered steps: Input data: [PASTE: [PASTE: 12-month forecast residuals, load drivers]] Key considerations: - Reference specific industry benchmarks, NERC standards, or regulatory requirements where applicable - Identify data quality issues or missing information that would limit confidence in the analysis - Recommend human review points where AI recommendations should be verified - Provide decision frameworks for trade-offs (cost vs. reliability, urgency vs. cost-benefit) Output format: Provide findings in bullet points with specific metrics, thresholds, and recommended actions suitable for immediate operational use.
Why it works
Emphasis on human review points balances AI speed with accountability in safety-critical operations.
Watch out for
Market analysis assumes rational bidder behavior; does not account for strategic manipulation or gaming.
Used by
Data Analysts