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Energy2023

Smart Grid Optimization System

Developing intelligent grid management software for renewable energy integration across the Nordic region.

Client

Scandinavia Power

Delivery Focus

Apache Spark + Kafka Streams

Case Study

Applied engineering work shaped around constraints, delivery speed, and durable systems.

The Challenge

As Scandinavia Power expanded their renewable energy portfolio, they faced significant challenges in balancing supply and demand across their grid. The intermittent nature of wind and solar power required sophisticated forecasting and real-time load balancing capabilities.

Our Solution

We built a comprehensive grid management platform with ML-powered demand forecasting, real-time renewable production monitoring, and automated load balancing. The system integrates with smart meters, battery storage facilities, and electric vehicle charging networks.

Results

Grid stability improved by 60%
15% increase in renewable energy utilization
Peak demand management reduced infrastructure costs by €12M
Carbon emissions reduced by 28%

Technologies Used

Apache SparkKafka StreamsInfluxDBPythonKubernetesMQTT

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