Electricity Price Forecasting
A set of technical methods for predicting electricity market prices using structured data such as historical prices, load, and weather, as well as unstructured information such as operational text. Applications include dispatch scheduling, bidding, and risk management.
Timeline (last 90 days)
Traditional electricity price forecasting methods usually model each market independently, training a separate model for each market.
Traditional methods treat each node as an independent sequence, ignoring the spatial dependencies introduced by network topology and congestion.
All Facts (2)
Traditional electricity price forecasting methods usually model each market independently, training a separate model for each market.
50%UnverifiedTraditional methods treat each node as an independent sequence, ignoring the spatial dependencies introduced by network topology and congestion.
50%