- A novel framework for assessing the smartness and the smart readiness level in highly electrified non-residential buildings: A Norwegian case study. In: Energy and Buildings, v. 314 (July 2024). (2024):
- Handling Complete Short-term Data Logging Failure in Smart Buildings: Machine Learning based Forecasting Pipelines with Sliding-window Training Scheme. In: Energy and Buildings, v. 301 (December 2023). (2023):
- Machine learning-based estimation of buildings' characteristics employing electrical and chilled water consumption data: Pipeline optimization. In: Energy and Buildings, v. 295 (September 2023). (2023):
- 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. In: Energy and Buildings, v. 294 (September 2023). (2023):
- Benchmarking clear sky and transposition models for solar irradiance estimation on vertical planes to facilitate glazed facade design. In: Energy and Buildings, v. 255 (January 2022). (2022):
- Building characterization through smart meter data analytics: Determination of the most influential temporal and importance-in-prediction based features. In: Energy and Buildings, v. 234 (March 2021). (2021):