本文将结合WGAN-GP和CNN-LSTM-Attention模型,对短期光伏功率进行预测,提高预测精度和稳定性。 二、WGAN-GP模型介绍 WGAN-GP是生成对抗网络(GAN)的一种改进算法,通过对生成器网络和判别器网络进行优化,实现更好的生成结果。在WGAN-GP模型中,引入了梯度惩罚机制,来解决KL散度失效的问题,提高生成样本的质量和多样性。
Speech Emotion Recognition on Small Sample Learning by Hybrid WGAN-LSTM NetworksSpeech emotion recognitionsmall sample trainingdata augmentationgenerative adversarial networklong short-term memoryThe speech emotion recognition based on the deep networks on small samples is often a very challenging problem in...
Second, high and low-frequency subsequences are predicted using the WGAN and LSTM models, respectively. Last, the predicted values of each component are integrated to obtain the final prediction results. The developed model uses data decomposition technology, together with advanced machine learning (ML...