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Teaching machines to think...

Machine Learning Platform

AI-powered energy prediction system achieving 93%+ accuracy for solar power plants

Energy
Machine Learning
Data Engineering
ERP Integration
Power Generation Forecasting

About the Project

We developed an advanced forecasting system for solar power generation that predicts output with over 93% accuracy. The system automatically feeds data into ERP and management reporting systems, enabling better grid planning and reducing penalty costs for forecast deviations. The solution processes historical weather data, satellite imagery, and real-time sensor readings to generate accurate predictions up to 72 hours in advance.

Challenges & Solutions

Key obstacles we addressed and the innovative solutions we delivered.

Forecast accuracy

Pain Point

Existing models had 70% accuracy, leading to significant penalty costs for incorrect predictions submitted to grid operators

Our Solution

Developed ensemble ML models combining weather data, satellite imagery, and historical patterns to achieve 93%+ accuracy

Data integration

Pain Point

Manual data entry into ERP systems caused delays and errors in financial reporting and operations planning

Our Solution

Built automated pipelines that sync predictions directly with SAP and custom reporting dashboards in real-time

Real-time updates

Pain Point

Batch processing meant forecasts were often outdated by the time operators received them

Our Solution

Implemented streaming architecture that updates predictions every 15 minutes based on latest weather data

Results

Measurable outcomes that demonstrate the impact of our work.

93%

Forecast Accuracy

23%

Reduction in Penalty Costs

72h

Prediction Horizon

15min

Update Frequency

Let's Build Your AI Solution

From first prototype to scaled production—one team handles it all. Tell us what problem you're solving.