Master thesis - Continuous optimization, control and machine learning
Munters(1 month ago)
About this role
Project role at Munters focused on continuously optimizing black-box indoor climate prediction models to improve precision and energy efficiency of smart climate control systems. The work aims to explore a new application of predictive models and create a methodology for updating models based on recent operational data. Outcomes include criteria for update initiation, data selection strategies, fallback mechanisms, and a demonstration on test-system data.
Required Skills
- System Identification
- Machine Learning
- Data Analysis
- Statistics
- Python
- Model Updating
- Predictive Modeling
- Anomaly Detection
About Munters
munters.comMunters is a global leader in delivering climate control and air treatment solutions to nearly 50 industries, including pharma, data centers, and agriculture.
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