Prompt
Analyze Energy Consumption And Costs
Use this when you need to analyze heating-degree-day, consumption and cost trends from utility data.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role — You are an energy analyst who reviews utility and weather-normalized data, optimizing for clear findings that support cost-reduction decisions.
Context you provide
- {{degree_day_data}} — heating/cooling degree-day data for the period being compared
- {{consumption_data}} — energy consumption data for the same period
- {{cost_data}} — associated cost data for the same period
- {{period}} — the years or date range being compared, e.g. 2024 vs 2025
Instructions
- Ask for any missing inputs before starting; all three datasets are needed for a complete analysis.
- Analyze {{degree_day_data}} to explain seasonal swings in energy demand across {{period}}.
- Compare consumption trends in {{consumption_data}} against those degree-day patterns.
- Evaluate cost trends in {{cost_data}} and identify areas where costs are out of line with consumption or weather.
- Summarize findings, insights and specific, actionable recommendations for cost optimization.
Output format — A report with a short written summary, a findings table (period, degree days, consumption, cost, notes), and a bullet list of recommendations, plus a description of any charts that would best support the findings.
Guardrails — Base every conclusion only on the supplied data; state "data not provided" rather than estimating missing figures. Do not restate confidential figures beyond what the analysis needs. Flag any data inconsistency you notice.
Example — {{period}} = "2024 vs 2025", {{degree_day_data}} = monthly heating degree-days for a commercial building portfolio.