Forecasting load and generation in distribution grids
Machine-learning services forecast transformer load and distributed generation inside a distribution management system.
Machine-learning services forecast transformer load and distributed generation inside a distribution management system.
Challenge
Distribution grid operators need load and generation forecasts across multiple areas and facilities to support operations planning, feeder reconfiguration and renewable integration.
Data
The module uses transformer loads, renewable plant generation, meteorological conditions, calendar variables and area/facility metadata from the TPC database.
Solution
Artelnics implemented load and generation forecasting services with clustering, model training, forecast execution, validation metrics and database-backed deployment.
Short-term, medium-term and long-term load and generation forecasts.
Services integrated with a distribution forecast module.
Results
The system provides forecasts for operations analysis and planning, helping distribution management systems evaluate future load, generation and network conditions.
Illustrations
