| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A data-driven reduced-order model for stiff chemical kinetics using dynamics-informed training
|
Vijayarangan, Vijayamanikandan
|
|
|
15 |
C |
p.
|
artikel
|
| 2 |
AI-enabled materials discovery for advanced ceramic electrochemical cells
|
Bello, Idris Temitope
|
|
|
15 |
C |
p.
|
artikel
|
| 3 |
A machine learning framework for remaining useful lifetime prediction of li-ion batteries using diverse neural networks
|
Lee, Junghwan
|
|
|
15 |
C |
p.
|
artikel
|
| 4 |
An explainable AI framework for robust and transparent data-driven wind turbine power curve models
|
Letzgus, Simon
|
|
|
15 |
C |
p.
|
artikel
|
| 5 |
An explainable AI model for power plant NOx emission control
|
Zhou, Yuanye
|
|
|
15 |
C |
p.
|
artikel
|
| 6 |
A robust autoregressive long-term spatiotemporal forecasting framework for surrogate-based turbulent combustion modeling via deep learning
|
Wu, Sipei
|
|
|
15 |
C |
p.
|
artikel
|
| 7 |
Comparison of optimizers for model predictive thermal control of buildings
|
Andersen, Torben
|
|
|
15 |
C |
p.
|
artikel
|
| 8 |
Current trends on the use of deep learning methods for image analysis in energy applications
|
Casini, Mattia
|
|
|
15 |
C |
p.
|
artikel
|
| 9 |
Development and assessment of artificial neural network models for direct normal solar irradiance forecasting using operational numerical weather prediction data
|
Pereira, Sara
|
|
|
15 |
C |
p.
|
artikel
|
| 10 |
Development and evaluation of a vision driven sensor for estimating fuel feeding rates in combustion and gasification processes
|
Ögren, Yngve
|
|
|
15 |
C |
p.
|
artikel
|
| 11 |
Development of surrogate-optimization models for a novel transcritical power cycle integrated with a small modular reactor
|
Zhang, Yili
|
|
|
15 |
C |
p.
|
artikel
|
| 12 |
Effective thermal conductivity estimation using a convolutional neural network and its application in topology optimization
|
Adam, Andre
|
|
|
15 |
C |
p.
|
artikel
|
| 13 |
Energy management of buildings with energy storage and solar photovoltaic: A diversity in experience approach for deep reinforcement learning agents
|
Hussain, Akhtar
|
|
|
15 |
C |
p.
|
artikel
|
| 14 |
Enhancing hourly heat demand prediction through artificial neural networks: A national level case study
|
Zhang, Meng
|
|
|
15 |
C |
p.
|
artikel
|
| 15 |
Generation of meaningful synthetic sensor data — Evaluated with a reliable transferability methodology
|
Meiser, Michael
|
|
|
15 |
C |
p.
|
artikel
|
| 16 |
Identifying representative days of solar irradiance and wind speed in Brazil using machine learning techniques
|
Ribeiro, Rafaela
|
|
|
15 |
C |
p.
|
artikel
|
| 17 |
Identifying the validity domain of machine learning models in building energy systems
|
Rätz, Martin
|
|
|
15 |
C |
p.
|
artikel
|
| 18 |
Multi-objective performance optimization & thermodynamic analysis of solar powered supercritical CO2 power cycles using machine learning methods & genetic algorithm
|
Turja, Asif Iqbal
|
|
|
15 |
C |
p.
|
artikel
|
| 19 |
Reconstructing hourly residential electrical load profiles for Renewable Energy Communities using non-intrusive machine learning techniques
|
Giannuzzo, Lorenzo
|
|
|
15 |
C |
p.
|
artikel
|
| 20 |
Reviewing 40 years of artificial intelligence applied to power systems – A taxonomic perspective
|
Heymann, F.
|
|
|
15 |
C |
p.
|
artikel
|
| 21 |
Site adaptation with machine learning for a Northern Europe gridded global solar irradiance product
|
Zainali, Sebastian
|
|
|
15 |
C |
p.
|
artikel
|
| 22 |
Synthetic demand data generation for individual electricity consumers: Inpainting
|
Dobrovolskij, Dascha
|
|
|
15 |
C |
p.
|
artikel
|
| 23 |
Total process of fault diagnosis for wind turbine gearbox, from the perspective of combination with feature extraction and machine learning: A review
|
Xu, Xinhua
|
|
|
15 |
C |
p.
|
artikel
|
| 24 |
VISION-iT: A Framework for Digitizing Bubbles and Droplets
|
Suh, Youngjoon
|
|
|
15 |
C |
p.
|
artikel
|
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