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Publikasjoner
- Enhancing climate resilience in buildings using Collective Intelligence: A pilot study on a Norwegian elderly care center Les publikasjonen
- Preliminary developments and insights of the Smart Building Hub: A Norwegian e-infrastructure for energy-flexible and healthy buildings
- Calibration and validation of physics-based data-driven models for simulating the thermal behavior of indoor spaces in an assisted living facility
- A novel framework for assessing the smartness and the smart readiness level in highly electrified non-residential buildings: A Norwegian case study
- Modulating the HVAC Demand of a Warehouse to Provide Load Flexibility for Charging Electric Trucks
- Predicting Hvac-Based Demand Flexibility in Grid-Interactive Efficient Buildings Utilizing Deep Neural Networks
- Collective Intelligence Function in Extreme Weather Conditions: High-Resolution Impact Assessment of Energy Flexibility on Building Energy Performance Les publikasjonen
- Machine learning-based estimation of buildings' characteristics employing electrical and chilled water consumption data: Pipeline optimization Les publikasjonen
- Machine-Learning-Based Prediction of HVAC-Driven Load Flexibility in Warehouses Les publikasjonen
- Assessing the impact of employing machine learning-based baseline load prediction pipelines with sliding-window training scheme on offered flexibility estimation for different building categories Les publikasjonen