Weather-Aware Home Energy Planner

Combines real-time Open-Meteo forecasts, Octopus Agile half-hourly prices, UK carbon intensity, and verified seasonal benchmarks (Ofgem, National Grid ESO) to build a 24–72 hour schedule for your appliances and EV. Optimize for cost or CO₂, resolve conflicts, and export to CSV or iCal.

⏱️ 5 minutes • 💪 Short

How This Tool Works

📋 Purpose

This tool turns live weather, half-hour electricity prices, and carbon forecasts into a practical home energy schedule. It shows what to run, when to run it, and why those times are better.

⚙️ How It Works

  1. 1
    Enter your UK postcode. We validate it and map it to your local weather and Agile pricing region.
  2. 2
    Choose a 24, 48, or 72 hour window, then choose whether to optimize for lower cost or lower carbon.
  3. 3
    Add each appliance with the earliest start, latest end, and run duration. Add EV charging if needed.
  4. 4
    We fetch live Open-Meteo weather, Octopus Agile half-hour prices plus standing charge, and UK carbon intensity forecasts.
  5. 5
    The planner scores each possible slot and picks the best valid slot for each load inside your time limits.
  6. 6
    You review Key Insights, schedule cards, action windows, and metric explanations to decide what to run and when.

Setup Your Schedule

Enter your location and appliance preferences to get started

Appliance Schedules

Starter schedules are pre-loaded so you only need a postcode to run the planner. Edit any schedule below if needed.

Dishwasher

Current window: 07:30 - 18:30

Washing Machine

Current window: 08:30 - 20:30

EV Charging (Optional)

Enter your UK postcode above to enable the planner.

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Complete Guide

Quick Tips

Jump-start your understanding with these essential tips

This period is often the most expensive on Agile tariffs. Moving flexible jobs like dishwashers, immersion heaters, and EV charging can cut daily cost without changing total usage.

The Action Windows table blends price, carbon, and weather into a simple score. Start with high-score windows for your biggest loads.

Cost mode prioritizes cheaper half-hour slots. Carbon mode prioritizes cleaner slots. You can switch mode to compare trade-offs before deciding.

Confidence is based on forecast coverage quality. High confidence means the timing signal is stronger. Lower confidence means keep more flexibility.

If standing charge is a big share of your total, timing still helps, but fixed daily charges limit total bill reduction.

Step-by-Step Guide

Follow these steps to get the most from this tool

Enter a valid UK postcode so the tool can fetch your pricing region and local weather coordinates.

Choose a 24, 48, or 72 hour horizon. Shorter horizons are usually more reliable for exact timings.

Select cost mode for lower bills or carbon mode for lower emissions.

Add each appliance with earliest start, latest end, and duration. The planner only picks times inside your limits.

For EV charging, set battery size, current charge, target charge, and charging window so the schedule is practical.

Each half-hour slot is scored using live Agile price, live carbon forecast, and live weather conditions.

The tool then picks the best valid slot for each appliance based on your selected mode.

Low-confidence signals get a small penalty to avoid over-promising savings.

Start with Key Insights for the plain-English summary.

Then review Optimized Schedule and Optimization Impact to see likely cost and carbon benefit.

Use the Action Windows table to choose backup times if your routine changes.

Re-run when weather changes, your plans change, or prices look unusual.

For most households, checking once per day or every other day is enough to stay close to best timing.

Advanced Topics

Deep dives for advanced users

Live inputs: We fetch half-hour price, carbon, and weather values for your selected horizon.

Slot scoring: Each half-hour slot gets a score based on your chosen mode (cost or carbon), plus weather context and confidence adjustments.

Schedule selection: For each appliance, we test valid start times inside your window and pick the best available slot.

Impact estimate: We compare your optimized plan with a worst-case timing baseline inside the same windows.

Open-Meteo: local hourly weather including temperature, humidity, wind, and rain.

Octopus Agile: half-hour import electricity prices and standing charge values.

UK Carbon Intensity API: national and regional carbon forecast values.

Seasonal benchmark data: long-term UK context used for seasonal comparison cards.

Total Cost and Total Carbon: estimated outcome of following your optimized plan.

Potential Savings and Carbon Avoided: estimated improvement versus worst timing inside your own windows.

Derived metrics: show how much timing opportunity exists today and why.

Action Windows: practical fallback slots if your first-choice schedule changes.

Forecast-based tools always carry uncertainty. The planner gives best estimates, not guarantees.

Regional carbon comparison is a best-fit mapping between tariff region and carbon reporting region.

Savings depend on following the suggested timings and on real-world appliance usage matching your setup.

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Frequently Asked Questions

Template reviewed: February 2026Tool outputs can refresh continuously from live APIs where available.

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