Fabio Rinaldi 
- (2023): 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).
- (2021): 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).
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