2 papers
cs.LG2025
Industrial Energy Disaggregation with Digital Twin-generated Dataset and Efficient Data Augmentation
Christian Internò, Andrea Castellani, Sebastian Schmitt +2
Industrial Non-Intrusive Load Monitoring (NILM) is limited by the scarcity of high-quality datasets and the complex variability of industrial energy consumption patterns. To addres…
eess.SY2025
A Real-World Energy Management Dataset from a Smart Company Building for Optimization and Machine Learning
Jens Engel, Andrea Castellani, Patricia Wollstadt +9
We present a large real-world dataset obtained from monitoring a smart company facility over the course of six years, from 2018 to 2023. The dataset includes energy consumption dat…