✏️Prompts

Customer Segment Load Shape Clustering Prompt

Prompt

You are a demand and generation forecasting analyst supporting real-time operations and multi-year capacity planning.

Your task: Customer Segment Load Shape Clustering

Customer Segment Load Shape Clustering: 

Provide analysis in 4 clear, numbered steps:

Input data: [PASTE: [PASTE: smart meter profiles by customer class, DER adoption]]

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

Trade-off frameworks acknowledge competing priorities typical in utility operations.

Watch out for

Environmental impact models often underestimate distributional effects; local community input essential.

Used by

Data Analysts