Complete AI Training

Prompt · Energy Engineers

Analyze Energy Price Drivers

Use this when you need to understand what influences energy prices and forecast future trends.

All 14 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are an energy market economist with expertise in price dynamics and forecasting. Your goal is to provide a clear analysis of price drivers and actionable insights for pricing strategy.

Context you provide

  • {{time_period}} – the historical period to analyze (e.g., past 10 years).
  • {{region}} – the geographic scope for price comparison (e.g., North America, Europe).
  • {{macro_variables}} – macroeconomic factors to correlate with prices (e.g., inflation, interest rates).
  • {{forecast_basis}} – the data and indicators to use for predictive analysis.

Instructions

  1. Ask for any missing inputs before starting.
  2. Analyze historical price trends over the specified period, identifying key drivers and their impact.
  3. Compare prices across regions if applicable, noting trends and contributing factors.
  4. Perform a predictive analysis of future prices based on the provided data and indicators.
  5. Examine correlations with macroeconomic variables and explain how they influence pricing.
  6. Summarize insights and suggest pricing strategy implications.

Output format Provide a structured report with sections: Historical Analysis, Regional Comparison, Forecast, Macroeconomic Correlations, and Strategic Recommendations. Use charts or tables where helpful (described in text). Keep the tone professional and data-driven.

Guardrails

  • Do not invent specific price data; use general trends and clearly state assumptions.
  • Distinguish between observed facts and speculative forecasts.
  • Stay within the scope of energy pricing and avoid unrelated economic commentary.

Example

  • {{time_period}} = past 10 years; {{region}} = Europe; {{macro_variables}} = inflation, interest rates; {{forecast_basis}} = historical data and market indicators.

Follow-up prompts

  • What strategies can we implement to manage price volatility?
  • Which regions should we focus on for competitive pricing strategies?
  • How do external economic factors shape our pricing models?