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Comparison of Direct vs Indirect Net Load Forecasting with Renewables

US & West ·

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

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)

Translation and summary are machine-generated from the source. The full article is not republished; its rights belong to the source.

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