AquaPredict AI™
Machine Learning Platform for Water Demand Forecasting
Development
8 months R&D
3 years of refinement
Team
12 specialists
Data scientists + ML engineers
Deployment
Metropolitan Smart City
10M residents covered
The Product
AquaPredict AI™ is a sophisticated machine learning platform that revolutionizes water demand forecasting for municipal utilities. Using advanced neural networks and ensemble methods, it analyzes historical consumption patterns, weather data, demographic trends, and special events to predict water demand with unprecedented accuracy.
AI Model Architecture
Primary Models
Long-term pattern recognition for seasonal trends
Multi-variable analysis for complex patterns
Holiday and event impact prediction
Input Features
5 years of hourly consumption data
Temperature, humidity, rainfall, forecast
Holidays, festivals, weekdays, seasons
Population growth, migration patterns
Concerts, sports events, public gatherings
Technology Stack
TensorFlow 2.0, PyTorch, Scikit-learn
Apache Spark, Pandas, NumPy
TensorFlow Serving, Docker, Kubernetes
FastAPI, GraphQL, REST endpoints
TimescaleDB, Redis, MongoDB
Deployment Options
Fully managed service on AWS/Azure
Private deployment in utility data center
Sensitive data on-premise, compute in cloud
Distributed inference at pump stations
RESTful API for existing SCADA/ERP
Forecasting Capabilities
Short-term Forecast
Hourly predictions for operational planning
- • Peak demand timing
- • Pump scheduling optimization
- • Reservoir level management
- • Energy cost optimization
Medium-term Forecast
Daily predictions for resource planning
- • Treatment plant scheduling
- • Chemical procurement
- • Maintenance windows
- • Staff scheduling
Long-term Forecast
Monthly trends for strategic planning
- • Infrastructure capacity planning
- • Budget forecasting
- • Supply contract negotiations
- • Capital investment decisions
API Integration Example
// Python Example: Get 24-hour forecast
import requests
import json
api_key = "your_api_key"
endpoint = "https://api.aquapredict.ai/v3/forecast"
params = {
"location_id": "bangalore_zone_a",
"forecast_hours": 24,
"include_confidence": True,
"weather_scenario": "actual"
}
headers = {
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json"
}
response = requests.post(endpoint, json=params, headers=headers)
forecast = response.json()
# Output structure
{
"forecast": [
{
"timestamp": "2024-01-15T00:00:00Z",
"demand_ml": 125842.5,
"confidence_lower": 123456.2,
"confidence_upper": 128228.8,
"factors": {
"temperature_impact": 1.12,
"day_of_week": "monday",
"special_event": null
}
}
],
"model_version": "3.2.1",
"accuracy_score": 0.942
}Model Performance Metrics
Accuracy Metrics
Operational Impact
Client Success Story
"AquaPredict AI has transformed our water supply operations. The accuracy of demand forecasting has enabled us to optimize pump operations, reducing energy costs by over 20% while improving supply reliability. The ability to predict peak demands has helped us manage our reservoir levels more efficiently, ensuring 24/7 water availability for our citizens. The ROI was achieved within just 8 months of deployment."
Transform Your Water Utility with AI
Join leading utilities worldwide using AquaPredict AI to optimize operations, reduce costs, and ensure reliable water supply through intelligent demand forecasting.