PhD in Energy Systems specializing in data-driven methodologies for building efficiency within the district heating sector. Currently applying machine learning and advanced analytics to optimize energy systems at Danfoss in Copenhagen.
🔬 Research Focus: Building efficiency, district heating optimization, energy forecasting
🎯 Expertise: Time-series analysis, clustering algorithms, predictive modeling, HVAC systems
🌍 Location: Copenhagen, Denmark
💼 Open for: Consulting projects, research collaboration, speaking opportunities
I help organizations optimize their energy systems through data-driven approaches:
🔹 Energy Demand Forecasting - Advanced time-series models for accurate consumption prediction
🔹 Building Efficiency Analysis - Data analytics for HVAC and district heating optimization
🔹 Chiller Performance Optimization - Regression models for intelligent consumption management
🔹 Machine Learning Solutions - Custom ML models for energy applications
🔹 Research & Development - Academic-industry collaboration on energy systems innovation
📧 Get in touch for consulting inquiries
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Advanced Regression for Chiller Trends & Intelligent Consumption
Machine learning models for optimizing chiller performance and energy consumption in building systems.
Python Regression Analysis HVAC Optimization Energy Management
Clustering Monthly Electricity Usage in Portugal
Data-driven approach to understanding consumption patterns using clustering algorithms. Featured on Medium.
R Clustering Energy Analytics Data Visualization
Data-Driven Building Efficiency in District Heating
Collection of R scripts and methodologies from doctoral research on optimization strategies for district heating systems.
R District Heating Building Efficiency Research
Automated Daily News Analysis & Summary
Python application performing sentiment analysis on latest news, with NASA APOD integration for daily email digests.
Python NLP Sentiment Analysis Automation
🔗 View my Google Scholar profile for latest publications on:
- Building energy efficiency
- District heating optimization
- Machine learning in energy systems
- Data-driven HVAC management
I'm always interested in discussing:
- ⚡ Energy systems optimization projects
- 🤖 Machine learning applications in sustainability
- 🏭 District heating & cooling innovations
- 📊 Data science for energy analytics
- 🎓 Research partnerships and academic collaboration
