Short-term wind power prediction model based on improved ACA-GRU neural network
نویسندگان
چکیده
Abstract To improve the accuracy of wind power forecasting, improved ACA (Ant Colony Algorithm) is used to optimize GRU (Gated Recurrent Unit) model. First, original generation data normalized; Second, neural network model established, and ant colony algorithm it; Finally, optimized non-optimized are predict short-term output, prediction results compared verify that ACA-GRU has higher for output.
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ژورنال
عنوان ژورنال: Journal of physics
سال: 2023
ISSN: ['0022-3700', '1747-3721', '0368-3508', '1747-3713']
DOI: https://doi.org/10.1088/1742-6596/2527/1/012078