Time series ML model optimizing energy usage and reducing costs
Utility company needed accurate demand forecasting to optimize grid operations. We built a hybrid forecasting model achieving 96% accuracy and saving $4.5M annually.
Utility company needed accurate demand forecasting to optimize grid load and reduce waste.
Developed Prophet + LSTM hybrid model incorporating weather data, historical patterns, and external factors. Real-time predictions updated hourly.
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