TY  - GEN 
AU  - Precioso Garcelán, Daniel
AU  - Gómez-Ullate Oteiza, David
A4  - Ingeniería Informática
PY  - 2023
SN  - 0920-8542
UR  - http://hdl.handle.net/10498/28902
AB  - Non-intrusive load monitoring (NILM) is the problem of predicting the status or
consumption of individual domestic appliances only from the knowledge of the
aggregated power load. NILM is often formulated as a classifcation (ON/OFF)
problem for...
LA  - eng
PB  - Springer
KW  - Non-intrusive load monitoring (NILM)
KW  - Recurrent neural networks
KW  - Convolutional neural networks
KW  - Binary cross-entropy loss
KW  - mean squared error loss
TI  - Thresholding methods in non-intrusive load monitoring
DO  - 10.1007/s11227-023-05149-8
ER  -