A comprehensive study and performance analysis of deep neural network-based approaches in wind time-series forecasting
Curve fitting; Deep neural networks; Errors; Forecasting; Gas emissions; Gas plants; Global warming; Graphic methods; Mean square error; Recurrent neural networks; Time series; Time series analysis; Wind; Forecasting: applications; NARX neural network; Network-based approach; Neural network model; P...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
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Springer Science and Business Media Deutschland GmbH
2023
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| Summary: | Curve fitting; Deep neural networks; Errors; Forecasting; Gas emissions; Gas plants; Global warming; Graphic methods; Mean square error; Recurrent neural networks; Time series; Time series analysis; Wind; Forecasting: applications; NARX neural network; Network-based approach; Neural network model; Performance; Prediction modelling; Renewable energies; Time series forecasting; Wind speed prediction; Wind time series; Greenhouse gases |
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