abbey2017/wind-energy-analytics
Physics-guided data-driven solutions for the wind energy industry
This project helps wind energy professionals analyze operational data from wind turbines to improve performance and detect anomalies. By inputting time-series SCADA data, wind engineers and analysts can identify normal and abnormal power curve behavior and estimate expected power output, enabling better decision-making for turbine maintenance and efficiency.
Use this if you are a wind engineer or analyst needing to perform routine and non-routine analysis of wind turbine SCADA data to identify performance issues.
Not ideal if you are looking for a complete wind farm management system or predictive maintenance solution beyond individual turbine analysis.
Stars
28
Forks
11
Language
Python
License
BSD-3-Clause
Category
Last pushed
Jan 07, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/abbey2017/wind-energy-analytics"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
FlexMeasures/flexmeasures
The intelligent & developer-friendly EMS to support real-time energy flexibility apps, rapidly...
ml-energy/zeus
Measure and optimize the energy consumption of your AI applications!
pyaf/load_forecasting
Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models
saizk/Deep-Learning-for-Solar-Panel-Recognition
CNN models for Solar Panel Detection and Segmentation in Aerial Images.
FateMurphy/CEEMDAN_LSTM
CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD...