| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A Conditional Generative adversarial Network for energy use in multiple buildings using scarce data
|
Baasch, Gaby
|
|
|
5 |
C |
p.
|
artikel
|
| 2 |
A data-driven approach using machine learning for early detection of the lean blowout
|
Hasti, Veeraraghava Raju
|
|
|
5 |
C |
p.
|
artikel
|
| 3 |
A deep neural network based model for the prediction of hybrid electric vehicles carbon dioxide emissions
|
Maino, Claudio
|
|
|
5 |
C |
p.
|
artikel
|
| 4 |
AI-Assisted approach for building energy and carbon footprint modeling
|
Chen, Chih-Yen
|
|
|
5 |
C |
p.
|
artikel
|
| 5 |
A novel combined multi-battery dataset based approach for enhanced prediction accuracy of data driven prognostic models in capacity estimation of lithium ion batteries
|
Nagulapati, Vijay Mohan
|
|
|
5 |
C |
p.
|
artikel
|
| 6 |
Artificial neural network based optimization of a six-step two-bed pressure swing adsorption system for hydrogen purification
|
Tong, Liang
|
|
|
5 |
C |
p.
|
artikel
|
| 7 |
Boosting the optimization of membrane electrode assembly in proton exchange membrane fuel cells guided by explainable artificial intelligence
|
Ding, Rui
|
|
|
5 |
C |
p.
|
artikel
|
| 8 |
Combining machine learning with 3D-CFD modeling for optimizing a DISI engine performance during cold-start
|
Ravindran, Arun C.
|
|
|
5 |
C |
p.
|
artikel
|
| 9 |
Data-driven approaches for cyber defense of battery energy storage systems
|
Kharlamova, Nina
|
|
|
5 |
C |
p.
|
artikel
|
| 10 |
Deep learning for estimating energy savings of early-stage facade design decisions
|
Abediniangerabi, B.
|
|
|
5 |
C |
p.
|
artikel
|
| 11 |
DetEEktor: Mask R-CNN based neural network for energy plant identification on aerial photographs
|
Schulz, Maximilian
|
|
|
5 |
C |
p.
|
artikel
|
| 12 |
Development of a Soft Actor Critic deep reinforcement learning approach for harnessing energy flexibility in a Large Office building
|
Kathirgamanathan, Anjukan
|
|
|
5 |
C |
p.
|
artikel
|
| 13 |
Experimental and numerical study of water sprayed turbulent combustion: Proposal of a neural network modeling for five-dimensional flamelet approach
|
Honzawa, Takafumi
|
|
|
5 |
C |
p.
|
artikel
|
| 14 |
Finding and analysing energy research funding data: The EnArgus system
|
Oppermann, Leif
|
|
|
5 |
C |
p.
|
artikel
|
| 15 |
Generalization performance of a deep learning based engine-out emissions model
|
Warey, Alok
|
|
|
5 |
C |
p.
|
artikel
|
| 16 |
Gym-ANM: Reinforcement learning environments for active network management tasks in electricity distribution systems
|
Henry, Robin
|
|
|
5 |
C |
p.
|
artikel
|
| 17 |
Hybrid optimization algorithm for parameter estimation of poly-phase induction motors with experimental verification
|
Abdelwanis, Mohamed I.
|
|
|
5 |
C |
p.
|
artikel
|
| 18 |
Implementation for a cloud battery management system based on the CHAIN framework
|
Yang, Shichun
|
|
|
5 |
C |
p.
|
artikel
|
| 19 |
Increasing power plant efficiency with clustering methods and Variable Importance Index assessment
|
Duarte, Jéssica
|
|
|
5 |
C |
p.
|
artikel
|
| 20 |
Introducing the Open Energy Ontology: Enhancing data interpretation and interfacing in energy systems analysis
|
Booshehri, Meisam
|
|
|
5 |
C |
p.
|
artikel
|
| 21 |
Lessons learned from the underrepresentation of women in STEM: AI-enabled solutions and more
|
Abuwatfa, Waad
|
|
|
5 |
C |
p.
|
artikel
|
| 22 |
Lithium-ion battery data and where to find it
|
dos Reis, Gonçalo
|
|
|
5 |
C |
p.
|
artikel
|
| 23 |
Machine learning-based assessment of the impact of the manufacturing process on battery electrode heterogeneity
|
Duquesnoy, Marc
|
|
|
5 |
C |
p.
|
artikel
|
| 24 |
Machine learning for integrating combustion chemistry in numerical simulations
|
Nguyen, Huu-Tri
|
|
|
5 |
C |
p.
|
artikel
|
| 25 |
Physical-based training data collection approach for data-driven lithium-ion battery state-of-charge prediction
|
Li, Jie
|
|
|
5 |
C |
p.
|
artikel
|
| 26 |
Prediction of future capacity and internal resistance of Li-ion cells from one cycle of input data
|
Strange, Calum
|
|
|
5 |
C |
p.
|
artikel
|
| 27 |
Prediction of office building electricity demand using artificial neural network by splitting the time horizon for different occupancy rates
|
Chen, Si
|
|
|
5 |
C |
p.
|
artikel
|
| 28 |
Review of dynamic performance and control strategy of supercritical CO2 Brayton cycle
|
Wang, Xuan
|
|
|
5 |
C |
p.
|
artikel
|
| 29 |
Transfer learning of deep neural networks for predicting thermoacoustic instabilities in combustion systems
|
Mondal, Sudeepta
|
|
|
5 |
C |
p.
|
artikel
|
| 30 |
Transformations of trust in society: A systematic review of how access to big data in energy systems challenges Scandinavian culture
|
Godoy, Jaqueline de
|
|
|
5 |
C |
p.
|
artikel
|
| 31 |
Typical load profile-supported convolutional neural network for short-term load forecasting in the industrial sector
|
Walser, Thilo
|
|
|
5 |
C |
p.
|
artikel
|
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