hehe-rook / An-oil-and-gas-well-production-prediction-model-based-on-TCN-and-weight-predictorLinks
整个项目的目标是基于TCN和加权预测器来对油气井产量进行时间序列的预测。
☆10Updated last year
Alternatives and similar repositories for An-oil-and-gas-well-production-prediction-model-based-on-TCN-and-weight-predictor
Users that are interested in An-oil-and-gas-well-production-prediction-model-based-on-TCN-and-weight-predictor are comparing it to the libraries listed below
Sorting:
- CNN+LSTM+Attention实现时间序列预测☆60Updated last year
- CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.☆271Updated 6 months ago
- Tree seed algorithm and Particle Swarm algorithm are used for searching the LSTM hyper parameters☆11Updated 2 years ago
- CEEMDAN-VMD-LSTM Forecasting model (a light version of CEEMDAN_LSTM)☆100Updated 3 years ago
- ☆20Updated 4 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 5 years ago
- 基于pytorch搭建多特征LSTM时间序列预测☆172Updated 2 years ago
- ☆27Updated 3 years ago
- 基于统计学的时间序列预测(AR,ARM).☆285Updated 4 years ago
- An Ensemble DL Model Tuned with Genetic Algorithm for Oil Production Forecasting.☆72Updated 2 years ago
- 异常检测算法☆20Updated 2 years ago
- ☆31Updated 2 years ago
- PyTorch实现的Informer (Informer:用于长序列时间序列预测☆26Updated 3 years ago
- 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…☆173Updated 5 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）☆64Updated 2 years ago
- 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…☆39Updated 2 years ago
- Adaptive Data Analysis Applied to Wind Power Forecasting☆13Updated 9 months ago
- Building Time series forecasting models, including the XGboost Regressor, GRU (Gated Recurrent Unit), LSTM (Long Short-Term Memory), CNN …☆106Updated 2 years ago
- transformer/self-attention for Multidimensional time series forecasting 使用transformer架构实现多维时间预测☆236Updated 2 years ago
- 1) How to Prepare Time Series Data for CNNs and LSTMs?? 2) How to Develop CNNs for Time Series Forecasting?? 3) How to Develop LSTMs for …☆10Updated last year
- time series analysis models source code☆245Updated 3 years ago
- Implementation of Electric Load Forecasting Based on LSTM(BiLSTM). Including Univariate-SingleStep forecasting, Multivariate-SingleStep f…☆249Updated 3 years ago
- This repo holds the implementation the paper 'Forecasting gold price using a novel hybrid model with ICEEMDAN and LSTM-CNN-CBAM', by Yanh…☆50Updated 3 years ago
- CNN+LSTM+Attention predict stock☆60Updated 3 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…☆293Updated last year
- Time series forecasting especially in LSTF compare，include Informer, Autoformer, Reformer, Pyraformer, FEDformer, Transformer, MTGNN, LST…☆119Updated 2 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
- ☆17Updated 3 years ago
- Wind Power Forecasting Based on Hybrid CEEMDAN-EWT Deep Learning Method☆69Updated last year
- 本项目为时间序列预测项目，主要重点在于对预测项目整体流程的梳理总结，不同框架下如何进行简单数据处理和模型搭建。因此项目中搭建的主要为一些常用模型（后续会不断修改完善）。模型包含了prophet模型、keras库的bp神经网络和lstm网络模型、pytorch …☆25Updated 2 years ago