yistar-traitor / CNN-Long-Term-PredictionLinks
使用CNN进行时间序列预测,这里的标签可以是多维的(即可以进行长期预测)。Using CNN for time series prediction, the label here can be multidimensional (that is, it can be used for long-term prediction).
☆19Updated 5 years ago
Alternatives and similar repositories for CNN-Long-Term-Prediction
Users that are interested in CNN-Long-Term-Prediction are comparing it to the libraries listed below
Sorting:
- ☆42Updated 5 years ago
- a multivariate time series deep spatiotemporal forecasting model with graph neural network (MDST-GNN) is proposed to solve the existing …☆32Updated 3 years ago
- ☆16Updated 4 years ago
- 多变量时序预测transformer☆16Updated 3 years ago
- ☆23Updated 3 years ago
- [KDD CUP 2022] 11th place solution of Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022☆63Updated 2 years ago
- This code is the implementation of this paper (Multistage attention network for multivariate time series prediction)☆23Updated 5 years ago
- EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction☆40Updated 6 years ago
- 多元多步时间序列的LSTM模型预测——基于Keras☆90Updated 4 years ago
- This is the PyTorch implementation of TPA-LSTM☆60Updated 6 years ago
- KDD Cup 2022 spatial dynamic wind power forecast challenge solution.☆97Updated 3 years ago
- KDDCUP2022 WPF Competition☆12Updated 3 years ago
- 3rd Place Solution of KDD Cup 2022-Spatial Dynamic Wind Power Forecasting☆137Updated 2 years ago
- ☆20Updated 2 years ago
- ☆31Updated 6 years ago
- 建立SARIMA-LSTM混合模型预测时间序列问题。以PM2.5值为例,使用UCI公开的自2013年1月17日至2015年12月31日五大城市PM2.5小时检测数据,将数据按时间段划分,使用SARIMA过滤其线性趋势,再对过滤后的残差使用LSTM进行预测,最后对预测结果进行…☆84Updated 6 years ago
- Code for the paper "Multivariate Time Series Prediction of Complex Systems Based on Graph Neural Networks with Location Embedding Graph S…☆24Updated 3 years ago
- 基于深度学习的溶解氧时间序列预测模型☆31Updated 5 years ago
- Pytorch implementation of various traffic prediction modules(FC-LSTM, GRU, GCN, Diffusion Conv, Temporal Attention, etc.)☆11Updated last year
- ☆14Updated 3 years ago
- ☆14Updated 2 years ago
- ☆29Updated 2 years ago
- 一种有效的电力负荷预测方法☆64Updated 6 years ago
- wind_power_forecast☆41Updated 3 years ago
- This project is an implementation of the paper Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks. The model LSTNe…☆17Updated 6 years ago
- Air Quality Predictions with a Semi-Supervised Bidirectional LSTM Neural Network☆25Updated 4 years ago
- EA-LSTM: Evolutionary attention-based LSTM for time series prediction☆41Updated 5 years ago
- Codes for kddcup2022☆18Updated 3 years ago
- KDDCUP2022 Spatial Dynamic Wind Power Forecasting Paddle Track Sixth Place Solution☆24Updated 3 years ago
- TCN(Temporal Convolutional Network) model for load forecasting with serial data.☆13Updated 5 years ago