Everything You Need to Replace Your $400K Forecasting Team

Stop researching. Start automating. Here's exactly what you need—nothing more, nothing less.

The goal is simple: Stop paying humans to check weather.com and add numbers.

The Only 2 APIs You Actually Need

Forget complex data lakes and expensive enterprise APIs. You need exactly 2 free government websites:

That's it. No machine learning APIs, no expensive enterprise data feeds, no complex neural networks. Just temperature and historical usage. Because that's all you need for 90% accuracy.

The Formula That Replaces AI

Skip the machine learning. Use basic math:

Which Grid Region Are You In?

Just pick your region from this list:

That's literally all the configuration you need. The N8N workflow handles everything else automatically.

Get the Complete N8N Workflow

Stop building from scratch. Copy our tested workflow:

Alternative: 5-Minute Python Script

If you prefer coding over N8N:

# Replaces $400K forecasting team in 15 lines
import requests, schedule, time

def forecast():
    weather = requests.get(f"api.openweathermap.org/.../forecast?q=Austin&appid=KEY")
    historical = requests.get(f"api.eia.gov/.../daily-region-data?api_key=KEY")
    temp = weather.json()["list"][0]["main"]["temp"]
    baseline = sum(h["value"] for h in historical.json()["response"]["data"][:7]) / 7
    predicted = baseline * (1 + (temp - 70) * 0.02)
    print(f"Tomorrow's peak: {predicted:.0f} MW")

schedule.every().day.at("06:00").do(forecast)
schedule.run_pending(); time.sleep(60)  # Keep running

What This Actually Costs

The shocking truth about automation costs:

Stop Overthinking. Start Automating.

The only question left: Do you want to keep paying humans $400K/year to check weather.com, or automate it for $0-30/month?

Remember: This is a educational toy example showing automation principles. The same N8N workflow pattern works for any complexity level—from simple temperature correlation to sophisticated ML models. Start simple, prove the concept, then add complexity only if needed.

Most utilities discover the simple version covers 90% of their needs. And saves 100% of their analyst costs.