Renewable Energy Sources Production Forecasting

Problem

Energy suppliers are obligated to share their forecasts with the system operator to maintain system balance. Renewable energy production is especially hard to predict because it depends on uncontrollable factors such as weather conditions.

Challenge

To accurately estimate the renewable energy sources’ hourly power generation, using data input from previous records and testing the outputs with as much variable combination as possible. This requires a lot of processing power and algorithms to be used in forecasting.

Solution

Aigoritma combines many state-of-the-art statistics and machine learning algorithms to achieve the most accurate forecast based on analysis over historical data from renewable energy sources and other natural variables.

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