Electricity consumption
forecasting
Plan electricity purchases and operations with forecasts tailored to your consumption profile.
For energy suppliers, portfolio managers and industrial consumers. Combine historical load, weather and operating schedules to anticipate demand and assess exposure to forecast errors.
- A demand forecast for your use case: an individual site, a group of meters or an aggregated portfolio.
- Comparable results: assess MAE, RMSE and peak-period errors against your current forecast or a simple baseline.
- A practical delivery plan: agree file or API requirements, update frequency and operational handover.
- Business relevance: where tariff and settlement data are available, estimate the cost implications of forecast errors.
Scope, data requirements and success criteria are agreed before the pilot. No universal accuracy or savings percentage is assumed.
1. Review your data. Historical interval consumption, timestamps and time zone, missing-data flags, calendar and operating schedules. Add weather and other drivers where relevant.
2. Agree a fair comparison. Select a held-out period, forecast horizons, issue times and a baseline before evaluating results. Check peaks and different operating conditions separately.
3. Review the pilot together. Compare forecasts with actual demand, document limitations and agree the next step.
Start with your country, type of consumer or portfolio, and forecasting objective. Detailed datasets can follow after confidentiality and access terms are agreed.
Please do not include confidential data. Prefer email? info@smartren.pro.
