Peter Remmen

Energy consumption prediction and household feature analysis for different residential building types using machine learning and SHAP: Toward energy-efficient buildings

Leveraging the power of artificial intelligence toward the energy transition: The key role of the digital economy

Comparison of clustering algorithms for the selection of typical demand days for energy system synthesis

Workflow automation for combined modeling of buildings and district energy systems