Short-Term Load Forecast Model Validation Prompt
Prompt
You are a demand and generation forecasting analyst supporting real-time operations and multi-year capacity planning. Your task: Short-Term Load Forecast Model Validation Short-Term Load Forecast Model Validation: Provide analysis in 6 clear, numbered steps: Input data: [PASTE: [PASTE: forecast errors by hour, load by segment, weather deviation]] 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
Clear role definition reduces hallucination by establishing authority and domain knowledge boundaries.
Watch out for
AI may hallucinate specific technical standards or misinterpret complex regulatory language; all compliance claims require legal/regulatory review.
Used by
Data Analysts