ashrafalaghbari / GA-TCN-LSTMView external linksLinks
An Ensemble DL Model Tuned with Genetic Algorithm for Oil Production Forecasting.
☆78Jul 28, 2023Updated 2 years ago
Alternatives and similar repositories for GA-TCN-LSTM
Users that are interested in GA-TCN-LSTM are comparing it to the libraries listed below
Sorting:
- A novel time series forecasting model, called CEEMDAN-TCN.☆11Mar 15, 2022Updated 3 years ago
- time series forecasting with TCN and RNN neural networks in Darts☆13Nov 1, 2021Updated 4 years ago
- CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.☆290Mar 3, 2025Updated 11 months ago
- Predict oil production over time☆11Jan 19, 2023Updated 3 years ago
- ☆29Dec 30, 2024Updated last year
- ☆17Jan 6, 2022Updated 4 years ago
- ☆14Apr 21, 2021Updated 4 years ago
- The research project is a better approach for forecasting the production rate of an oil and gas well. The performance is way beyond the t…☆12Sep 26, 2019Updated 6 years ago
- ☆12Oct 8, 2022Updated 3 years ago
- GA，PSO，LSTM...☆26May 11, 2018Updated 7 years ago
- ☆17Nov 3, 2022Updated 3 years ago
- Multivariate Time Series Prediction using Keras (CNN BiLSTM Attention)☆98Nov 6, 2020Updated 5 years ago
- Experimenting with generating synthetic data using ydata-synthetic☆38Sep 7, 2021Updated 4 years ago
- Ultra-short-term multi-step wind speed prediction for wind farms based on adaptive noise reduction technology and temporal convolutional …☆39Nov 30, 2023Updated 2 years ago
- Temporal Convolutional Neural Net for stock selection, using a Genetic Algorithm for feature selection☆33Oct 12, 2020Updated 5 years ago
- The work develops a multi-step time series load forecasting model that predicts daily power consumption for the upcoming week based on hi…☆24Jul 28, 2024Updated last year
- ☆16May 4, 2021Updated 4 years ago
- Forecasting the power generated by wind turbines using Deep Neural Networks and Clustering Approach☆22Feb 23, 2022Updated 3 years ago
- Sequence clustering using k-means with dynamic time warping (DTW) and Damerau-Levenshtein distance as similarity measures☆20Aug 16, 2022Updated 3 years ago
- 比较 TCN、GRU、GCN、TGCN、 TCN+GCN 在 交通流量预测方面的准确率效果。☆141Jun 11, 2021Updated 4 years ago
- Undergraduate thesis, Seoul National University Dept. of Economics — "Modeling Volatility and Risk Spillover Between the Financial Market…☆22Jan 15, 2025Updated last year
- This repo holds the implementation the paper 'Forecasting gold price using a novel hybrid model with ICEEMDAN and LSTM-CNN-CBAM', by Yanh…☆53Jul 12, 2022Updated 3 years ago
- 多元多步时间序列的LSTM模型预测——基于Keras☆90Dec 5, 2021Updated 4 years ago
- Python notebook implementation of hyperparameter tuning of LSTM deep learning model using Genetic algorithm☆22Aug 18, 2021Updated 4 years ago
- Replication and extension of paper on Conditional Value at Risk (CoVaR) by Adrian and Brunnermeier.☆23Nov 14, 2020Updated 5 years ago
- CEEMDAN-VMD-LSTM Forecasting model (a light version of CEEMDAN_LSTM)☆108Aug 30, 2022Updated 3 years ago
- TCN-LSTM Motor Vibration Fault Diagnosis Model☆36Aug 8, 2024Updated last year
- 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。☆11Mar 22, 2024Updated last year
- Data science and machine learning are fast-paced emerging technologies across all industries including oil and gas. The oil and gas indus…☆42Jan 28, 2023Updated 3 years ago
- ☆99Mar 25, 2023Updated 2 years ago
- Ensemble long short-term memory. A gradient-free neural network that combines ensemble neural network and long short-term memory.☆24Jun 26, 2021Updated 4 years ago
- TensorFlow implementation of the HARNet model for realized volatility forecasting.☆28Jul 16, 2023Updated 2 years ago
- This is the PyTorch implementation of TPA-LSTM☆60Dec 13, 2019Updated 6 years ago
- ☆25Jul 3, 2019Updated 6 years ago
- 开发板实践：掌握应用树莓派（Raspberry Pi）这一低成本、高性能的微型计算机在人脸识别领域的应用。 软件开发实践：利用Qt这一跨平台的应用程序框架，开发用户友好、功能丰富的人脸识别签到系统交互界面。 图像处理能力：通过OpenCV这一开源的计算机视觉库，进行人脸…☆26Apr 21, 2024Updated last year
- A repository for a Deep Q-Learning approach to intrusion detection for networks cyber-attacks.☆10Sep 3, 2021Updated 4 years ago
- Paper-Reproduce: (ESWA) Forecasting the realized volatility of stock price index: A hybrid model integrating CEEMDAN and LSTM☆72Apr 23, 2024Updated last year
- This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…☆28Apr 12, 2019Updated 6 years ago
- code for the paper https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9467267☆32Jul 25, 2021Updated 4 years ago