nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A co-training style semi-supervised artificial neural network modeling and its application in thermal conductivity prediction of polymeric composites filled with BN sheets
|
Liang, Yunmin |
|
|
4 |
C |
p. |
artikel |
2 |
A data-driven approach for predicting long-term degradation of a fleet of micro gas turbines
|
Olsson, Tomas |
|
|
4 |
C |
p. |
artikel |
3 |
A hybrid policy gradient and rule-based control framework for electric vehicle charging
|
Mbuwir, Brida V. |
|
|
4 |
C |
p. |
artikel |
4 |
An introduction to multivariate probabilistic forecast evaluation
|
Bjerregård, Mathias Blicher |
|
|
4 |
C |
p. |
artikel |
5 |
Applying artificial neural network to predict the viscosity of microalgae slurry in hydrothermal hydrolysis process
|
Chen, Hao |
|
|
4 |
C |
p. |
artikel |
6 |
A review and taxonomy of wind and solar energy forecasting methods based on deep learning
|
Alkhayat, Ghadah |
|
|
4 |
C |
p. |
artikel |
7 |
Autoencoder-based anomaly root cause analysis for wind turbines
|
Roelofs, Cyriana M.A. |
|
|
4 |
C |
p. |
artikel |
8 |
Data-based flooding fault diagnosis of proton exchange membrane fuel cell systems using LSTM networks
|
Gu, Xin |
|
|
4 |
C |
p. |
artikel |
9 |
Data-driven modelling of energy demand response behaviour based on a large-scale residential trial
|
Antonopoulos, Ioannis |
|
|
4 |
C |
p. |
artikel |
10 |
3D convolutional selective autoencoder for instability detection in combustion systems
|
Gangopadhyay, Tryambak |
|
|
4 |
C |
p. |
artikel |
11 |
Feature selection for energy system modeling: Identification of relevant time series information
|
Müller, Inga M. |
|
|
4 |
C |
p. |
artikel |
12 |
Predicting entropy and heat capacity of hydrocarbons using machine learning
|
Aldosari, Mohammed N. |
|
|
4 |
C |
p. |
artikel |
13 |
Prognostics of radiation power degradation lifetime for ultraviolet light-emitting diodes using stochastic data-driven models
|
Fan, Jiajie |
|
|
4 |
C |
p. |
artikel |
14 |
Toward cost-effective residential energy reduction and community impacts: A data-based machine learning approach
|
Naji, Adel |
|
|
4 |
C |
p. |
artikel |