| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A general model for flow boiling heat transfer in microfin tubes based on a new neural network architecture
|
Lin, Lingnan
|
|
|
8 |
C |
p.
|
artikel
|
| 2 |
A Reinforcement Learning approach for the continuous electricity market of Germany: Trading from the perspective of a wind park operator
|
Lehna, Malte
|
|
|
8 |
C |
p.
|
artikel
|
| 3 |
A review: Challenges and opportunities for artificial intelligence and robotics in the offshore wind sector
|
Mitchell, Daniel
|
|
|
8 |
C |
p.
|
artikel
|
| 4 |
Comparison between conventional and deep learning-based surrogate models in predicting convective heat transfer performance of U-bend channels
|
Wang, Qi
|
|
|
8 |
C |
p.
|
artikel
|
| 5 |
Deep anomaly detection in horizontal axis wind turbines using Graph Convolutional Autoencoders for Multivariate Time series
|
Miele, Eric Stefan
|
|
|
8 |
C |
p.
|
artikel
|
| 6 |
Electrical demand aggregation effects on the performance of deep learning-based short-term load forecasting of a residential building
|
Shaqour, Ayas
|
|
|
8 |
C |
p.
|
artikel
|
| 7 |
Generation of Rate-of-Injection (ROI) profile for Computational Fluid Dynamics (CFD) model of Internal Combustion Engine (ICE) using machine learning
|
Williams, Zachary
|
|
|
8 |
C |
p.
|
artikel
|
| 8 |
Implementation of artificial intelligence techniques in microgrid control environment: Current progress and future scopes
|
Trivedi, Rohit
|
|
|
8 |
C |
p.
|
artikel
|
| 9 |
Nanotwinning induced decreased lattice thermal conductivity of high temperature thermoelectric boron subphosphide (B12P2) from deep learning potential simulations
|
Huang, Xiaona
|
|
|
8 |
C |
p.
|
artikel
|
| 10 |
Perspective: Predicting and optimizing thermal transport properties with machine learning methods
|
Wei, Han
|
|
|
8 |
C |
p.
|
artikel
|
| 11 |
Reinforcement learning-driven local transactive energy market for distributed energy resources
|
Zhang, Steven
|
|
|
8 |
C |
p.
|
artikel
|
| 12 |
Scarcity events analysis in adequacy studies using CN2 rule mining
|
Heymann, Fabian
|
|
|
8 |
C |
p.
|
artikel
|
| 13 |
Semantic 3D City Agents—An intelligent automation for dynamic geospatial knowledge graphs
|
Chadzynski, Arkadiusz
|
|
|
8 |
C |
p.
|
artikel
|
| 14 |
The equality, diversity and inclusion in energy and AI: Call for actions
|
Xuan, Jin
|
|
|
8 |
C |
p.
|
artikel
|
| 15 |
Vertical power flow forecast with LSTMs using regular training update strategies
|
Brauns, Katharina
|
|
|
8 |
C |
p.
|
artikel
|
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