On the Impact of the Sequence Length on Sequence-to-Sequence and Sequence-to-Point Learning for NILM. - Andreas Reinhardt 001; Mazen Bouchur (NILM@SenSys, 2020)

Efficient neural network representations for energy data analytics on embedded systems. - Mazen Bouchur; Andreas Reinhardt 001 (e-Energy, 2022)

What's up for the weekend?: exploiting day type information in non-intrusive load monitoring. - Mazen Bouchur; Daniel Szafranski; Andreas Reinhardt 001 (BuildSys, 2022)

NILMInspector: An Interactive Tool for Data Visualization and Manipulation in Load Disaggregation. - Mazen Bouchur; Andreas Reinhardt 001 (BuildSys, 2024)