Back to Case Studies


Energy & Utilities
Energy Demand Forecasting
24-hour ahead multi-variate forecasting to optimize generation, reduce costs, and balance supply/demand.

Forecast Accuracy
92
%
Cost Reduction
18
%
Optimal Resource Planning
The Challenge
Grid operators face large losses from over/under generation due to poor short-term demand forecasting.
Our Solution
Multi-variate time-series forecasting for 24-hour ahead load prediction to enable optimal generation planning.
TECHNOLOGIES USED
PythonLSTMProphetSARIMAInfluxDBGrafanaAPI Gateway
Ideal For
Utility companies
Grid operators
Renewable energy providers
Visual Insights

