11、Electric Load Forecasting in Smart Grids Using Long-Short-Term-Memory based Recurrent Neural Netw
亮點：是不是典型的LSTM，還是基於RNN的LSTM呢？再細看那一部分把 數據集兩個：飛機乘客和電力數據集 智能電網中的電力負荷預測基於長時程記憶的復發神經網絡 短期：several hours to several weeks ahead. 由於非線性，短期電力的非平穩性和非季節性 小規模電力系統負荷時間序列的精確預測具有挑戰性。 LSTM-based RNN is able to explo
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相關文章
- 1. 9、Building Energy Load Forecasting using Deep Neural Networks
- 2. 4 Short-Term Load Forecasting using A Long Short- Term Memory Network
- 3. 2------Support Vector Regression Based Electricity Peak Load Forecasting
- 4. (zhuan) Recurrent Neural Network
- 5. 3 Deep Neural Networks for Energy Load Forecasting
- 6. PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs
- 7. Paper Reading-1-Recurrent neural network based language model
- 8. DeepAR:Probabilistic forecasting with autoregressive recurrent network
- 9. Waveform Modeling and Generation Using Hierarchical Recurrent Neural Networks for Speech Bandwidth E...
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