HAlicia / LSTM-ANN-Time-Series-PredictionLinks
使用LSTM、ANN网络进行时间序列的多步预测。一般情况下机器学习算法在进行时间序列预测时采取一步预测的方法。该段代码将其拓展到多步预测的情形。主要改进在于数据的构建。LSTM and ANN are used to predict the time series. In general, machine learning algorithm takes one-step prediction method in time series prediction. This code extends it to the case of multi-step prediction. The main improvement lies in the construction of data.
☆16Updated 4 years ago
Alternatives and similar repositories for LSTM-ANN-Time-Series-Prediction
Users that are interested in LSTM-ANN-Time-Series-Prediction are comparing it to the libraries listed below
Sorting:
- 使用多种算法（线性回归、随机森林、支持向量机、BP神经网络、GRU、LSTM）进行电力系统负荷预测/电力预测。通过一个简单的例子。A variety of algorithms (linear regression, random forest, support vecto…☆171Updated 5 years ago
- 使用卷积神经网络-长短期记忆网络（bi-LSTM）-注意力机制对股票收盘价进行回归预测。The convolution neural network, short-term memory network and attention mechanism are used to…☆286Updated last year
- 多元多步时间序列的LSTM模型预测——基于Keras☆80Updated 3 years ago
- Regression prediction of time series data using LSTM, SVM and random forest. 使用LSTM、SVM、随机森林对时间序列数据进行回归预测，注释拉满。☆191Updated 5 years ago
- Implementation of Electric Load Forecasting Based on LSTM(BiLSTM). Including Univariate-SingleStep forecasting, Multivariate-SingleStep f…☆240Updated 3 years ago
- 基于pytorch搭建多特征LSTM时间序列预测☆169Updated 2 years ago
- CNN+LSTM+Attention predict stock☆55Updated 3 years ago
- used for Stock Prodiction&power prediction&Traffic prediction by ARIMA,xgboost,RNN,LSTM,TCN☆112Updated 5 years ago
- Performed comparative analysis of BiLSTM, CNN-BiLSTM and CNN-BiLSTM with attention models for forecasting cases.☆44Updated 2 years ago
- 使用LSTM、GRU、BPNN进行时间序列预测。Using LSTM\GRU\BPNN for time series forecasting. (Pytorch Edition)☆58Updated 4 years ago
- LSTM与电力负荷预测☆9Updated 4 years ago
- 此项目包括数据的预处理、使用GM(1,1)和BP神经网络模型进行数据分析和预测，以及结果的可视化展示。项目旨在展示如何结合传统的机器学习方法和深度学习技术来进行时间序列预测。☆10Updated last year
- 基于深度学习的多特征电力负荷预测☆138Updated 4 years ago
- 使用支持向量机、弹性网络、随机森林、LSTM、SARIMA等多种算法进行时间序列的回归预测，除此以外还采取了多种组合方法对以上算法输出的结果进行组合预测。Support vector machine, elastic network, random forest, LSTM…☆46Updated 5 years ago
- PyTorch实现的Informer (Informer:用于长序列时间序列预测☆25Updated 3 years ago
- 使用LSTM预测回归问题，使用注意力机制自动提取特征的重要程度。Using LSTM to predict regression problems, Attention mechanism is used to automatically extract the impor…☆18Updated 4 years ago
- 基于VMD-Attention-LSTM的时间序列预测模型（代码仅使用了一个较小数据集的训练及预测，内含使用使用逻辑，适合初学者观看，模型结构是可行的，有能力的请尝试使用更大的数据集训练）☆63Updated 2 years ago
- CNN+BiLSTM+Attention Multivariate Time Series Prediction implemented by Keras☆695Updated 5 years ago
- 基于统计学的时间序列预测(AR,ARM).☆280Updated 4 years ago
- 使用ARIMA,Transformer,LSTM 对心跳时间序列数据进行预测☆18Updated last year
- 基于 LSTM 循环神经网络的电力系统负荷预测分析。建立 CART 回归树以及 LSTM 模型对该地区未来 10 天间隔 15 分钟负荷以及未来 3 个月负荷最大最小值进行预测。将行业数据分为大工业用电最大值、大工业用电最小 值；非普工业最大值、非普工业最小值；普通工业最大…☆37Updated 2 years ago
- ☆17Updated 3 years ago
- stock predict with MLP,CNN,RNN,LSTM,Transformer and Transformer-LSTM☆265Updated 3 years ago
- Load forecasting using LSTM and BP.使用LSTM、BP神经网络实现负荷预测☆17Updated 4 years ago
- ☆18Updated 4 years ago
- 深度学习以进行时间序列预测☆672Updated 4 years ago
- CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.☆266Updated 4 months ago
- 一种有效的电力负荷预测方法☆63Updated 5 years ago
- Implementation of Electric Load Forecasting Based on LSTM (BiLSTM). Including direct-multi-output forecasting, single-step-scrolling fore…☆97Updated 2 years ago
- 基于LSTM的电力负荷预测☆153Updated 6 years ago