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Home Energy Optimizer
Combine smart home data, weather forecasts, and utility rate schedules to optimize energy usage and save money on your power bill.
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advanced⏱ 20 min setup🔄 8 swappable alternatives
🧂 Ingredients
🔌 APIs
forecast_temperature_for_heating_cooling_planning
🔄 Alternatives:
Weatherapi — Better free tier, more dataVisual Crossing — Historical data includedTomorrow Io — Minute-by-minute forecasts
Control smart home devicesrequired
control_smart_home_devices
🔄 Alternatives:
Smartthings — Easier setup, cloud-basedHomekit — Apple ecosystem integration
Optimize energy schedulingrequired
optimize_energy_scheduling
🔄 Alternatives:
Anthropic — Better at analysis and reasoningGemini — Free tier, multimodalMistral — Open-weight, EU-hosted
📋 Step-by-Step Build Guide
STEP 1
Pull today's weather forecast (temperature, humidity, cloud cover)
Pull today's weather forecast (temperature, humidity, cloud cover)
Use the OpenWeatherMap API to fetch weather data for the user's location.
GET https://api.openweathermap.org/data/2.5/forecast?q={city}&appid={api_key}&units=imperial
Extract: current temperature, conditions, humidity, wind speed, and rain probability.
Format concisely: "72°F, Partly Cloudy, 45% humidity, 8mph wind, 10% rain"
If the API returns an error, retry once with a 2-second delay. If it fails again, use "Weather data unavailable" as a placeholder and continue with the remaining steps.STEP 2
Get utility rate schedule (peak/off-peak hours and rates)
Get utility rate schedule (peak/off-peak hours and rates)
Get utility rate schedule (peak/off-peak hours and rates) Steps: 1. Validate all required inputs are available 2. Execute the operation described above 3. Verify the result meets expected output format 4. Handle errors gracefully — retry transient failures, log and alert on persistent ones 5. Return structured output with status and any relevant data If any required data is missing, request it from the user before proceeding.
STEP 3
Analyze current smart home device states and schedules
Analyze current smart home device states and schedules
Analyze current smart home device states and schedules Steps: 1. Validate all required inputs are available 2. Execute the operation described above 3. Verify the result meets expected output format 4. Handle errors gracefully — retry transient failures, log and alert on persistent ones 5. Return structured output with status and any relevant data If any required data is missing, request it from the user before proceeding.
STEP 4
Optimize: shift high-energy tasks to off-peak hours
Optimize: shift high-energy tasks to off-peak hours
Optimize: shift high-energy tasks to off-peak hours Steps: 1. Validate all required inputs are available 2. Execute the operation described above 3. Verify the result meets expected output format 4. Handle errors gracefully — retry transient failures, log and alert on persistent ones 5. Return structured output with status and any relevant data If any required data is missing, request it from the user before proceeding.
STEP 5
Adjust thermostat pre-cooling/heating based on forecast
Adjust thermostat pre-cooling/heating based on forecast
Adjust thermostat pre-cooling/heating based on forecast Steps: 1. Validate all required inputs are available 2. Execute the operation described above 3. Verify the result meets expected output format 4. Handle errors gracefully — retry transient failures, log and alert on persistent ones 5. Return structured output with status and any relevant data If any required data is missing, request it from the user before proceeding.
STEP 6
Send daily energy tips with estimated savings
Send daily energy tips with estimated savings
Send daily energy tips with estimated savings Steps: 1. Validate all required inputs are available 2. Execute the operation described above 3. Verify the result meets expected output format 4. Handle errors gracefully — retry transient failures, log and alert on persistent ones 5. Return structured output with status and any relevant data If any required data is missing, request it from the user before proceeding.
STEP 7
Track actual vs predicted usage for accuracy improvement
Track actual vs predicted usage for accuracy improvement
Track actual vs predicted usage for accuracy improvement Steps: 1. Validate all required inputs are available 2. Execute the operation described above 3. Verify the result meets expected output format 4. Handle errors gracefully — retry transient failures, log and alert on persistent ones 5. Return structured output with status and any relevant data If any required data is missing, request it from the user before proceeding.
🤖 Example Agent Prompt
Use the OpenWeatherMap API to fetch weather data for the user's location.
GET https://api.openweathermap.org/data/2.5/forecast?q={city}&appid={api_key}&units=imperial
Extract: current temperature, conditions, humidity, wind speed, and rain probability.
Format concisely: "72°F, Partly Cloudy, 45% humidity, 8mph wind, 10% rain"
If the API returns an error, retry once with a 2-second delay. If it fails again, use "Weather data unavailable" as a placeholder and continue with the remaining steps.Copy this prompt into your agent to get started.