Machine Learning‑Driven AC Watt Prediction for Smarter Energy Use
ELPRESY leverages CART Decision Tree Regression to forecast your air conditioner's daily watt consumption to driven energy optimization for academic research and real-world application
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How It Works
From input to actionable insight in three simple steps.
IoT Data Sync
Automatically collect and synchronize real-time electrical metrics from your connected IoT sensors. This ensures our model runs on accurate, live data without manual entry.
Run Prediction
Our advanced CART Decision Tree model processes the incoming metrics against comprehensive historical energy patterns, instantly generating highly accurate wattage forecasts tailored to your specific hardware setup.
Analyze Results
Review the detailed wattage forecasts through our intuitive dashboard. Identify usage spikes and implement data-driven strategies to significantly optimize your daily electrical consumption.