Domain Selection

After your data is connected, you select your energy use case and utility context. This is Step 2 of the Rassket workflow — and it is what makes Rassket different from generic forecasting tools.

Sector: Energy (default)
Choose the use case that best matches your data. You will run preprocessing on the next step.

Supported Energy Use Cases

Rassket supports five energy-specific domains. Choose the one that best describes what you are trying to predict or detect.

Day-ahead load forecasting
System load or demand for the next trading day and similar horizons.
Solar / wind generation forecast
Variable renewable output, curtailment, and generation uncertainty.
Energy theft / meter fraud detection
Anomalies, diversion, and non-technical loss patterns in metering data.
Predictive maintenance (turbines)
Asset health, failures, and condition signals for rotating equipment.
Short-term electricity price forecast
LMP, hub, or tariff-linked price movements over short horizons.

Utility Company Context

Select utility company context
Choose your company. Rassket will apply this operational context to chat, analysis, and decision simulations. This makes results more relevant to your specific grid and customer base.

UtilityOperational Context Applied
TVA (Tennessee Valley Authority)Long-term capacity planning, industrial and data center load growth, integrated resource planning.
MTE (Middle Tennessee Electric)Residential demand forecasting, peak load management, rate optimization.
EPB (Electric Power Board of Chattanooga)Advanced smart grid operations, real-time analytics, reliability optimization.
Nashville Electric Service (NES)Urban demand forecasting, EV load integration, infrastructure planning.
Knoxville Utilities Board (KUB)Residential and commercial forecasting, reliability, energy efficiency.
Gibson Electric Membership CorporationAgricultural load forecasting and cooperative grid management.
Duck River Electric Membership Corporation (DREMC)Rural residential demand, distributed generation, peak demand reduction.
Appalachian Electric Cooperative (AEC)Seasonal tourism and elevation-dependent demand forecasting.
Cumberland Electric Membership Corporation (CEMC)New residential load forecasting and infrastructure expansion.
Sequachee Valley Electric Cooperative (SVEC)Rural load management, outage resilience, small industrial demand.
Rassket domain selection screen showing five energy use case options and utility company context selector

Select your energy use case and utility context — Rassket applies domain-specific intelligence automatically.

Why Domain Selection Matters

When you select a domain and utility, Rassket applies specialized feature engineering that generic tools skip — such as time-of-use windows, public holiday indicators, seasonal patterns, lag features, and weather interaction terms. It also applies the context of your utility to every analysis, chat response, and decision simulation you run.

The result is forecasts that are accurate and meaningful in the context of your grid, your customers, and your operational constraints.

Action Buttons

Clear & Upload New
Clears the current dataset and returns you to the upload screen so you can start fresh with different data.
Continue to Preprocessing →
Confirms your domain selection and moves to the preprocessing step where Rassket validates and prepares your data for training. app.rassket.com/preprocessing
Not sure which domain to choose? Pick the one that most closely matches your primary goal. You can always clear your data and restart with a different domain if needed.

Next Step

After selecting your domain, continue to How It Works to see preprocessing, model building, and insights in detail.