TY  - JOUR 
AU  - Román Portabales, Antón
AU  - López Nores, Martín
AU  - Pazos Arias, José Juan
PY  - 2021
SN  - 14248220
UR  - http://hdl.handle.net/11093/2602
AB  - The forecast of electricity demand has been a recurrent research topic for decades, due to its economical and strategic relevance. Several Machine Learning (ML) techniques have evolved in parallel with the complexity of the electric grid. This paper...
LA  - eng
PB  - Sensors
TI  - Systematic review of electricity demand forecast using ANN-based machine learning algorithms
DO  - 10.3390/s21134544
ER  -