emirhanai/Estimated-annual-CO2-emissions-from-diesel-generators-at-mobile-or-cell-towers
Estimated annual CO2 emissions from diesel generators at mobile or cell towers
This software helps assess the environmental impact of mobile infrastructure. By inputting estimated annual CO2 emissions from diesel generators at cell towers for 2014 and 2020, along with a population figure, it predicts the geographic region (country or continent) these emissions originate from. This tool is useful for environmental analysts, sustainability managers, or policymakers tracking emissions related to telecommunications.
No commits in the last 6 months.
Use this if you need to predict the regional source of CO2 emissions from diesel generators powering mobile towers based on historical emissions data and population figures.
Not ideal if you need precise country-level predictions for all global regions or if you require granular data beyond estimated CO2 and population.
Stars
41
Forks
1
Language
Python
License
MIT
Category
Last pushed
Aug 24, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/emirhanai/Estimated-annual-CO2-emissions-from-diesel-generators-at-mobile-or-cell-towers"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
emirhanai/SO2-Emission-Prediction-from-Diesel-Engines-with-Quantum-Technology-5G
SO2 Emission Prediction from Diesel Engines with Quantum Technology (5G). A worldwide study has...
BerkKilicoglu/Fuel-Consumption-Estimator
Desktop application that estimates fuel consumption using a trained machine learning model.
emirhanai/US-dry-natural-production-prediction-machine-learning.py
Dry Natural Gas Production Prediction of the United States
RozhakDev/CarbonML-Purbalingga
Prediksi emisi karbon di Purbalingga berbasis data geospasial dari OpenStreetMap. Menggunakan...
Vatshayan/Co2-Emission-Prediction-Using-Machine-Learning
Final year Co2 Emission Prediction Using Machine Learning Project with source code and...