We are seeking an experienced Energy Informatics professional to assist in identifying anomalies in time series data related to predicted electrical energy used for trading at Balancing management. The ideal candidate should have a strong background in data analysis and machine learning, with expertise in anomaly detection algorithms. The responsibilities include analyzing the time series data, designing and implementing anomaly detection models, and providing insights and recommendations based on the identified anomalies.
Skills required:
- Energy informatics
- Time series analysis
- Data analysis
- Machine learning
- Anomaly detection algorithms
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