A Julia/JuMP Package for Power Network Optimization

NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms

An early prototype of a time-series forecasting app predicting wind power production

Review, implementation, and comparison of several spatio-temporal forecasting approaches in a use case of wind power generation in Germany. We consider statistical, machine learning, and hybrid met…

Ultra-Short-term power forecast method for wind farm based on feature selection and temporal convolution network

KDD wind power forecast 2022

The model used in KDD CUP 2022 Spatial Dynamic Wind Power Forecasting

KDD Cup 2022 spatial dynamic wind power forecast challenge GRU and RNN ensemble <<Zealen>>

Weather-Driven Wind Power Forecasting and Reserve Scheduling

Wind Power Forecasting Based on Hybrid CEEMDAN-EWT Deep Learning Method

2022 KDD Cup Spatial Dynamic Wind Power Forecast

The code for paper "Probabilistic Forecasting for Wind Power Generation via Enhanced Conditional Variational Autoencoder with Normalization Flow"

Using AI and ML to predict electricity generation from renewable energies (wind photovoltaics) based on weather data.

The code of the base model (TCN-GRU) in article "Wind power forecasting: A temporal domain generalization approach incorporating hybrid model and adversarial relationship-based training"

Databricks Solution Accelerator Wind Turbine Power Forecasting

this is the official pytorch implementation for the paper: 2DXformer: Dual Transformers for Wind Power Forecasting with Dual Exogenous Variables.

This repository contains the Python implementation of AutoWP for automated wind power forecasts with limited computing resources using an ensemble of diverse wind power curves.

This respiratory contains the implementation codes of wind-speed prediction in energy forecasting. This study focused on deep neural network based approaches, like the nonlinear autoregressive exog…

LSTM-EFG for wind power forecasting based on sequential correlation features

Wind Power Forecasting done using Machine Learning Techniques.

Code for "Nonparametric Probabilistic Forecasting for Wind Power Generation using Quadratic Spline Quantile Function and Autoregressive Recurrent Neural Network"

An accurate and reliable wind power forecasting model that can handle the variability and uncertainty of the wind resource. An ensemble model which includes the Transformer, LSTM and Gradient Boost…

Wind power forecasting with LSTM

This project implements a bagging based spatio-temporal regression model for wind power forecasting.

This repository consists of the files used to build the project "Forecasting Wind Power Output of a Turbine" for IBM Hack Challenge 2020.

Adaptive Data Analysis Applied to Wind Power Forecasting

Predict Energy Output of a wind turbine at any geo-coordinate for a time-series of next 72 hours using ML and live weather forecast details. Developed an Android App in Flutter framework and Flask …

Forecasting Offshore wind Reductions in Cost of Energy

LSTM model for forecasting wind-power generation

Forecast wind power and electricity production of wind turbines