adnankarol/Water-Consumption-Prediction-Service
A complete end to end system for water consumption forecasting involving Data Preprocessing, Model Building using CNN-LSTM, and Model Deployment using Docker and Flask.
This service helps water utility managers or property managers accurately forecast water consumption for individual households. You input historical water usage data, including consumption amounts with start and stop times, and it produces predictions for future water demand. This allows for better resource management and early detection of unusual usage patterns.
No commits in the last 6 months.
Use this if you need to predict future water consumption for specific households based on their past usage patterns to manage resources efficiently.
Not ideal if you need to predict water consumption at a city-wide or regional level, or if your data does not include individual household usage details.
Stars
7
Forks
2
Language
Jupyter Notebook
License
—
Category
Last pushed
Aug 02, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/adnankarol/Water-Consumption-Prediction-Service"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
NVIDIA/earth2studio
Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
mllam/neural-lam
Research Software for Neural Weather Prediction for Limited Area Modeling
chengtan9907/OpenSTL
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
NVIDIA/earth2mip
Earth-2 Model Intercomparison Project (MIP) is a python framework that enables climate...
microsoft/aurora
Implementation of the Aurora model for Earth system forecasting