| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A co-estimation framework of state of health and remaining useful life for lithium-ion batteries using the semi-supervised learning algorithm
|
Li, Xiaoyu
|
|
|
19 |
C |
p.
|
artikel
|
| 2 |
A power extraction approach with load state modification for energy disaggregation
|
Zhang, Yusen
|
|
|
19 |
C |
p.
|
artikel
|
| 3 |
Corrigendum to “Constraint-incorporated deep learning model for predicting heat transfer in porous media under diverse external heat fluxes” [Energy and AI 18 (2024) 100425]
|
Guo, Ziling
|
|
|
19 |
C |
p.
|
artikel
|
| 4 |
DGL-STFA: Predicting lithium-ion battery health with dynamic graph learning and spatial–temporal fusion attention
|
Chen, Zheng
|
|
|
19 |
C |
p.
|
artikel
|
| 5 |
Digital twin-centered hybrid data-driven multi-stage deep learning framework for enhanced nuclear reactor power prediction
|
Daniell, James
|
|
|
19 |
C |
p.
|
artikel
|
| 6 |
Emission prediction and optimization of methanol/diesel dual-fuel engines based on ITransformer-BiGRU and NSGA-III
|
Pan, Mingzhang
|
|
|
19 |
C |
p.
|
artikel
|
| 7 |
Harnessing distributed GPU computing for generalizable graph convolutional networks in power grid reliability assessments
|
Dhulipala, Somayajulu L.N.
|
|
|
19 |
C |
p.
|
artikel
|
| 8 |
Identification of cell chemistries in lithium-ion batteries: Improving the assessment for recycling and second-life
|
Wett, Christopher
|
|
|
19 |
C |
p.
|
artikel
|
| 9 |
Ignition delay prediction for fuels with diverse molecular structures using transfer learning-based neural networks
|
Yang, Mo
|
|
|
19 |
C |
p.
|
artikel
|
| 10 |
Novel intelligent adaptive sliding mode control for marine fuel cell system via hybrid algorithm
|
Fang, Shiyi
|
|
|
19 |
C |
p.
|
artikel
|
| 11 |
Optimal capacity planning with economic emission considerations in isolated solar-wind-diesel microgrid using combined arithmetic-golden jackal optimization
|
Barua, Sujoy
|
|
|
19 |
C |
p.
|
artikel
|
| 12 |
Probabilistic forecasting of multiple plant day-ahead renewable power generation sequences with data privacy preserving
|
Liu, Hong
|
|
|
19 |
C |
p.
|
artikel
|
| 13 |
Probabilistic forecasting of renewable energy and electricity demand using Graph-based Denoising Diffusion Probabilistic Model
|
Miraki, Amir
|
|
|
19 |
C |
p.
|
artikel
|
| 14 |
Research on multi-objective control of PPCI diesel engine combustion process based on data driven modelling
|
Chen, Ziqiang
|
|
|
19 |
C |
p.
|
artikel
|
| 15 |
RL-ADN: A high-performance Deep Reinforcement Learning environment for optimal Energy Storage Systems dispatch in active distribution networks
|
Hou, Shengren
|
|
|
19 |
C |
p.
|
artikel
|
| 16 |
Robust survival model for the prediction of Li-ion battery lifetime reliability and risk functions
|
Ibraheem, Rasheed
|
|
|
19 |
C |
p.
|
artikel
|
| 17 |
Topologically consistent regression modeling exemplified for laminar burning velocity of ammonia-hydrogen flames
|
Du, Hui
|
|
|
19 |
C |
p.
|
artikel
|
| 18 |
Using crafted features and polar bear optimization algorithm for short-term electric load forecast system
|
Bhatnagar, Mansi
|
|
|
19 |
C |
p.
|
artikel
|
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