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Comparison of Direct vs Indirect Net Load Forecasting with Renewables

US & West · 7 Sept

The study compares direct and indirect neural network approaches for one-hour-ahead net load forecasting, with the indirect method predicting load, wind, and solar separately and incorporating installed renewable capacity as a feature; indirect shows improved accuracy.

Why it matters

Improved net load forecasting is crucial for balancing power systems with high renewable penetration.

Relevant to DT products

DT.Balance DTC DT.Forecast

Original headline: Net Load Forecasting with Renewable Capacity Features: A Comparison of Direct and Indirect Neural Network Methods

Read the original: arXiv — Systems and Control (eess.SY)

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