MiChaelinzo/N2K-AI
A code that could use AI techniques to analyze N2K data and develop models to predict the impact of renewable energy developments on protected species and habitats. You could also use AI to develop tools to help decision-makers evaluate the trade-offs between renewable energy development and nature conservation.
No commits in the last 6 months.
Stars
—
Forks
—
Language
Python
License
GPL-3.0
Category
Last pushed
Jun 25, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/MiChaelinzo/N2K-AI"
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...