| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Active learning concerning sampling cost for enhancing AI-enabled building energy system modeling
|
Li, Ao
|
|
|
16 |
C |
p.
|
artikel
|
| 2 |
Advancing state of health estimation for electric vehicles: Transformer-based approach leveraging real-world data
|
Nakano, Kosaku
|
|
|
16 |
C |
p.
|
artikel
|
| 3 |
A review of mixed-integer linear formulations for framework-based energy system models
|
Hoffmann, Maximilian
|
|
|
16 |
C |
p.
|
artikel
|
| 4 |
Digitalization of urban multi-energy systems – Advances in digital twin applications across life-cycle phases
|
Koirala, B.
|
|
|
16 |
C |
p.
|
artikel
|
| 5 |
Green light for bidirectional charging? Unveiling grid repercussions and life cycle impacts
|
Wohlschlager, Daniela
|
|
|
16 |
C |
p.
|
artikel
|
| 6 |
Hydrogen production via solid oxide electrolysis: Balancing environmental issues and material criticality
|
Schropp, Elke
|
|
|
16 |
C |
p.
|
artikel
|
| 7 |
Integrating material recycling and remanufacturing in energy system optimization modeling: A review and showcase
|
Zwickl-Bernhard, Sebastian
|
|
|
16 |
C |
p.
|
artikel
|
| 8 |
MANGOever: An optimization framework for the long-term planning and operations of integrated electric vehicle and building energy systems
|
Lerbinger, Alicia
|
|
|
16 |
C |
p.
|
artikel
|
| 9 |
Multi-scale electricity consumption prediction model based on land use and interpretable machine learning: A case study of China
|
Luo, Haizhi
|
|
|
16 |
C |
p.
|
artikel
|
| 10 |
Reviewing the complexity of endogenous technological learning for energy system modeling
|
Behrens, Johannes
|
|
|
16 |
C |
p.
|
artikel
|
| 11 |
Scalable spectrally selective solar cell for highly efficient photovoltaic thermal conversion
|
Chen, Ken
|
|
|
16 |
C |
p.
|
artikel
|
| 12 |
Toward global rooftop PV detection with Deep Active Learning
|
Zech, Matthias
|
|
|
16 |
C |
p.
|
artikel
|
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