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Randomization-based Machine Learning in Renewable Energy Prediction
  Problems: Critical Literature Review, New Results and Perspectives

Randomization-based Machine Learning in Renewable Energy Prediction Problems: Critical Literature Review, New Results and Perspectives

26 March 2021
Javier Del Ser
D. Casillas-Pérez
L. Cornejo-Bueno
Luis Prieto-Godino
J. Sanz-Justo
C. Casanova-Mateo
S. Salcedo-Sanz
    AI4CE
ArXivPDFHTML

Papers citing "Randomization-based Machine Learning in Renewable Energy Prediction Problems: Critical Literature Review, New Results and Perspectives"

2 / 2 papers shown
Title
Random vector functional link network: recent developments,
  applications, and future directions
Random vector functional link network: recent developments, applications, and future directions
Anil Kumar Malik
Ruobin Gao
M. A. Ganaie
M. Tanveer
Ponnuthurai Nagaratnam Suganthan
14
102
0
13 Feb 2022
On the Post-hoc Explainability of Deep Echo State Networks for Time
  Series Forecasting, Image and Video Classification
On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification
Alejandro Barredo Arrieta
S. Gil-Lopez
I. Laña
Miren Nekane Bilbao
Javier Del Ser
AI4TS
31
13
0
17 Feb 2021
1