Paper code for "Adapting a deep convolutional RNN model with imbalanced regression loss for improved spatio-temporal forecasting of extreme wind speed events in the short-to-medium range".
☆17Oct 10, 2025Updated 8 months ago
Alternatives and similar repositories for Deep-RNN-for-extreme-wind-speed-prediction
Users that are interested in Deep-RNN-for-extreme-wind-speed-prediction are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 🍃 Wind Speed Prediction Model based on Pytorch☆15Dec 4, 2023Updated 2 years ago
- This respiratory contains the implementation codes of wind-speed prediction in energy forecasting. This study focused on deep neural netw…☆11Nov 11, 2022Updated 3 years ago
- 提供了一个专为桥梁工程设计的通用框架，它能够支持创建包括斜拉桥、悬索桥、斜拉-悬索协作体系桥梁在内的几乎所有类型的缆索承重桥梁的物理模型，并可以将其导入到ANSYS中进行有限元分析。基于MATLAB编写，本框架旨在为桥梁工程师和研究人员提供一个强大、灵活的工具，以促进缆索承…☆15Jul 26, 2024Updated last year
- A Flexible, Differentiable Framework for Neural-Enhanced Hydrological Modeling☆15Mar 30, 2026Updated 2 months ago
- [NeurIPS 2025] Elucidated Rolling Diffusion Models for Probabilistic Weather Forecasting☆21Jan 8, 2026Updated 5 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A curated repository of awesome Digital Twin resources.☆28Updated this week
- Spatial Dynamic Wind Power Forecasting. This task has practical importance for the utilization of wind energy. Participants are expected …☆23Aug 9, 2022Updated 3 years ago
- PyTorch code for the Paper "Wind speed prediction using multidimensional convolutional neuralnetworks"☆22Jul 1, 2024Updated last year
- A Polars plugin for persistent DataFrame-level metadata☆20Updated this week
- A Multilevel Encoder-Decoder Attention Network for Change Detection in Hyperspectral Images (TGRS 2022)☆13Mar 16, 2024Updated 2 years ago
- Code execution runtime for the STAC Overflow: Map Floodwater from Radar Imagery competition☆12Sep 29, 2021Updated 4 years ago
- A new probabilistic wind speed prediction method, called Shared Weight Long Short-Term Memory Network combined with Gaussian Process Regr…☆12Nov 17, 2019Updated 6 years ago
- ☆12Nov 25, 2021Updated 4 years ago
- Code for paper "Sparse Variational Gaussian Process based Day-ahead Probabilistic Wind Power Forecasting", IEEE Transactions on Sustaina…☆25Dec 6, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- R Package for Imbalanced Regression☆19Apr 3, 2023Updated 3 years ago
- Official code for the paper: Robust Human Detection under Visual Degradation via Thermal and mmWave Radar Fusion☆13Jul 4, 2023Updated 2 years ago
- Wind Speed Prediction using LSTM☆13Oct 6, 2019Updated 6 years ago
- This webservice will help scrape data out of chart(s) presented on any given website. (At this moment, I only support scrape from HighCha…☆13Updated this week
- For largescale wind power penetration Wind speed prediction is a basic requirement of wind energy generation. There are many artificial n…☆51Nov 20, 2021Updated 4 years ago
- Wind speed prediction using machine learning algorithms and time-series models☆12Jun 27, 2015Updated 10 years ago
- Recommend products or brands to users based on browsing history data☆13Dec 18, 2020Updated 5 years ago
- ☆12Dec 18, 2023Updated 2 years ago
- Input Switched Affine Networks: An RNN Architecture Designed for Interpretability. http://proceedings.mlr.press/v70/foerster17a/foerster1…☆10Oct 15, 2017Updated 8 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A new tidy data structure to support exploration and modeling of temporal data☆19Dec 12, 2019Updated 6 years ago
- A solar wind prediction model through Deep learning, using AIA Full disc data☆10Jun 16, 2020Updated 5 years ago
- Interpolation of gridded 2D ocean/atmosphere GCM data onto 1D satellite tracks + spectral analysis☆14Jan 5, 2024Updated 2 years ago
- A multi-task learning framework based on pytorch☆12Nov 8, 2023Updated 2 years ago
- Call XGBoost from Fortran☆12Jun 20, 2023Updated 2 years ago
- ☆21Feb 8, 2023Updated 3 years ago
- Uncertainty quantification for data-driven weather models.☆15Apr 9, 2025Updated last year
- Parser to save epex spot data in CSV and JSON☆19Feb 13, 2023Updated 3 years ago
- We propose a novel deep learning framework DRSNet (deep residual shrinkage network) with an embedded soft-threshold denoising scheme for …☆16May 25, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Runoff Generation Research in Python☆21Updated this week
- This is the code for the "Robust Gait Recognition based on Deep CNNs with Camera and Radar Sensor Fusion".☆13Jul 6, 2023Updated 2 years ago
- AI challenger 2018 TOP3 Solution☆16Jul 26, 2019Updated 6 years ago
- # typhoon Analysis satellite images of typhoons by deep-learning (CNN), based on PyTorch. This CNN learns to map the satellite images …☆18Sep 3, 2019Updated 6 years ago
- Programming for AI Practice☆13Dec 13, 2020Updated 5 years ago
- This repository contains historic data from EPEX spot market for Germany, gotten by awattar.de☆19Updated this week
- Demand Response Analysis Framework (DRAF)☆24Updated this week