Project Work for TSDB Ph.D. Course (2 ECTS, 2022)
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Updated
Apr 8, 2022 - Jupyter Notebook
Project Work for TSDB Ph.D. Course (2 ECTS, 2022)
A wind resource data retrieval, visualization, and analysis toolkit.
This is a very basic tutorial repository using sklearn models and CNR wind challenge data to explain each model's inner workings and evaluate model performance.
Support tool, offers a set of Python classes designed for forecasting optimal wind turbine placements and efficient cable connections in wind energy systems.
⚡ Very short-term wind energy forecasting based on stacking ensemble | 🛢️ Previsão da produção brasileira de petróleo com base em uma abordagem híbrida
CORINE landuse map to WAsP roughness
A calculator for designing or assessing liesure boat energy demands and storage
Awesome list from wind energy research and business. Contributions are highly appreciated
A Python wind farm layout optimization package
Design a Wind Energy System to power a House
An educational tool for processing wind turbulence data from 3D sonic anemometers mounted on a mast
⚡ A novel decomposition-ensemble learning framework for multi-step ahead wind energy forecasting
Community-driven taxonomy of research topics in wind energy.
This repository contains PAL, a Matlab-based framework for the development, deployment and testing of interconnected PLC applications. Developed by the Wind Energy Institute of the Technical University of Munich.
This class converts and joins netcdf files from the Tall Tower database into a csv file
Contains the source code of the minutes of the 2021 General Meeting.
The SAR database for inter-farm wake interaction, supplementary of Long-distance and high-impact wake effects of large offshore wind farm clusters revealed by SAR
⚡ Wind energy multi-step ahead forecasting based on variational mode decomposition
Evaluation/optimization framework for wind turbine operational optimization considering fatigue damage and revenue objectives using adaptive control based on electricity prices and wind conditions
Data imputation with collaborative filtering and latent factor models for wind farms time series data
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