TY  - GEN 
AU  - González Enrique, Francisco Javier
AU  - Ruiz Águilar, Juan Jesús
AU  - Moscoso López, José Antonio
AU  - Urda, Daniel
AU  - Deka, Lipika
AU  - Turias Domínguez, Ignacio José
A4  - Ingeniería Industrial e Ingeniería Civil
A4  - Ingeniería Informática
PY  - 2021
SN  - 1424-8220
UR  - http://hdl.handle.net/10498/24775
AB  - This study aims to produce accurate predictions of the NO2 concentrations at a specific station of a monitoring network located in the Bay of Algeciras (Spain). Artificial neural networks (ANNs) and sequence-to-sequence long short-term memory networks...
LA  - eng
PB  - MDPI
KW  - forecasting
KW  - feature selection
KW  - air pollution
KW  - nitrogen dioxide
KW  - artificial neural networks
KW  - LSTMs
KW  - exogenous variables
KW  - deep learning
KW  - time series
TI  - Artificial Neural Networks, Sequence-to-Sequence LSTMs, and Exogenous Variables as Analytical Tools for NO2 (Air Pollution) Forecasting: A Case Study in the Bay of Algeciras (Spain)
DO  - 10.3390/s21051770
ER  -