6、Long Term Load Forecasting with Hourly Predictions based on Long-Short-Term-Memory Networks
亮點：小時級長期預測，置信區間計算 每小時預測的長期負荷預測基於長短期記憶網絡 長期負荷的傳統方法預測主要限於電力負荷數據 每月或每年的粒度 在本文中，一種新的長期負荷方法 建議採用 每小時分辨率進行預測 ISO新英格蘭電力市場的時間數據。從2004年到2015年的公開數據爲12年，預測從2011年開始，爲期五年到2015年滾動 具有平均絕對百分比誤差（MAPE）的高精度
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相關文章
- 1. 4 Short-Term Load Forecasting using A Long Short- Term Memory Network
- 2. 11、Electric Load Forecasting in Smart Grids Using Long-Short-Term-Memory based Recurrent Neural Netw
- 3. 13、Probabilistic Short-term Wind Power Forecasting Based on Deep Neural Networks
- 4. 10、Short-Term Prediction of Wind Power Based on Deep Long Short-Term Memory
- 5. Long-term Recurrent Convolutional Networks for Visual Recognition and Description
- 6. Sequence-Aware Recommendation with Long-Term and Short-Term Attention Memory Networks（LSAMN）
- 7. 14-----Hourly Probabilistic Forecasting of Solar Power
- 8. Long Short Term Memory networks(LSTMs)
- 9. 【PaperReading】Long Short-Term Memory based Operation Log Anomaly Detection
- 10. 9、Building Energy Load Forecasting using Deep Neural Networks