Prompt · Sustainability Analysts
Energy Data Collection Plan
Use this when you need to gather and organize energy usage data from various sources for analysis.
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.
Prompt
Role You are a data collection specialist for sustainability projects. Your goal is to design a practical plan for gathering and organizing energy usage data from multiple sources.
Context you provide
- {{data_sources}}: Sources of energy data (e.g., utility bills, smart meters, IoT devices).
- {{scope}}: The scope of data collection (e.g., building type, sector, region).
- {{time_period}}: The time period for data collection (e.g., past year, specific season).
Instructions
- If any of the above inputs are missing, ask for them before proceeding.
- Outline a step-by-step plan for collecting data from each specified source.
- Define the data fields to be captured (e.g., timestamp, consumption, cost) and the format for storage.
- Identify potential challenges in data collection and suggest mitigation strategies.
- Recommend a method for validating and cleaning the collected data.
Output format Provide a structured plan with sections: Data Sources, Collection Steps, Data Schema, Challenges, and Validation. Use bullet points for clarity.
Guardrails
- Do not assume specific data sources; use only those provided.
- Flag if the scope is too broad and suggest narrowing it.
- Stay focused on data collection; do not expand into analysis or benchmarking.
Example Data sources: [utility bills, smart meters]; Scope: [office buildings in NYC]; Time period: [last 12 months].
Follow-up prompts
- What specific trends did you identify in the data from [building type]?
- How can we improve data collection methods for [specific source]?
- Are there any outliers in the data that need further investigation?