With gridfor.ai, energy companies can easily harness the opportunities offered by artificial intelligence for short-term forecasting of consumption, generation and prices. It is based on a neural network architecture optimized for cyclical and weather-dependent time series, and has achieved excellent results compared with traditional forecasting methods. The solution automatically manages and updates forecasts around the clock.
CUSTOMER-SPECIFIC FORECASTS
gridfor.ai can easily be deployed to forecast electricity demand, renewable energy generation, or any other variable of importance. The solution has been deployed in production by Power-Deriva, a provider of electricity trading services.
MARKET FORECASTS
An early release of gridfor.ai has predicted electricity consumption in Finland continuously for five years with excellent results.
The solution has been successfully tested on electricity prices, consumption in other countries as well as wind power.
Screenshot of the gridfor.ai user interface.