TY  - JOUR 
AU  - Aguiar Pérez, Javier Manuel
AU  - Pérez Juárez, María Ángeles
PY  - 2023
SN  - 1424-8220
UR  - https://uvadoc.uva.es/handle/10324/64799
AB  - Smart grids are able to forecast customers’ consumption patterns, i.e., their energy demand, and consequently electricity can be transmitted after taking into account the expected demand. To face today’s demand forecasting challenges, where the data...
LA  - eng
KW  - Demand forecasting
KW  - Load forecasting
KW  - Demand response
KW  - Forecasting horizon
KW  - Smart grid
KW  - Smart environment
KW  - Deep learning
KW  - Long short-term memory networks
KW  - Convolutional neural networks
TI  - An insight of deep learning based demand forecasting in smart grids
DO  - 10.3390/s23031467
ER  -