The Australian energy sector is facing complex challenges due to the integration of renewable energy sources. Traditional methods are now inadequate for load and price forecasting.
Innovior has developed an advanced machine learning model to predict electricity prices with high accuracy.
The models are built using MLOps, which streamlines the process of taking machine learning models to production. This involves using a mix of sequential data, such as historical power demands and weather data, with non-sequential data, such as specific events impacting energy consumption and pricing.