nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A comprehensive review on the development of data-driven methods for wind power prediction and AGC performance evaluation in wind–thermal bundled power systems
|
Wang, Shuai |
|
|
16 |
C |
p. |
artikel |
2 |
Advanced wind turbine blade inspection with hyperspectral imaging and 3D convolutional neural networks for damage detection
|
Rizk, Patrick |
|
|
16 |
C |
p. |
artikel |
3 |
A new dust detection method for photovoltaic panel surface based on Pytorch and its economic benefit analysis
|
Shao, Yichuan |
|
|
16 |
C |
p. |
artikel |
4 |
An LSTM-based approach to detect transition to lean blowout in swirl-stabilized dump combustion systems
|
Gangopadhyay, Tryambak |
|
|
16 |
C |
p. |
artikel |
5 |
A reliable knowledge processing framework for combustion science using foundation models
|
Sharma, Vansh |
|
|
16 |
C |
p. |
artikel |
6 |
A review of image processing and quantification analysis for solid oxide fuel cell
|
Tan, Kar Shen |
|
|
16 |
C |
p. |
artikel |
7 |
Boosting efficiency in state estimation of power systems by leveraging attention mechanism
|
Cibaku, Elson |
|
|
16 |
C |
p. |
artikel |
8 |
Combined peak reduction and self-consumption using proximal policy optimisation
|
Peirelinck, Thijs |
|
|
16 |
C |
p. |
artikel |
9 |
Comparative study of univariate and multivariate strategy for short-term forecasting of heat demand density: Exploring single and hybrid deep learning models
|
Salehi, Sajad |
|
|
16 |
C |
p. |
artikel |
10 |
Component modeling and updating method of integrated energy systems based on knowledge distillation
|
Lin, Xueru |
|
|
16 |
C |
p. |
artikel |
11 |
Cross-level steam load smoothing and optimization in industrial parks using data-driven approaches
|
Lin, Xiaojie |
|
|
16 |
C |
p. |
artikel |
12 |
CWGAN-GP with residual network model for lithium-ion battery thermal image data expansion with quantitative metrics
|
Hu, Fengshuo |
|
|
16 |
C |
p. |
artikel |
13 |
Data-driven modeling and fault diagnosis for fuel cell vehicles using deep learning
|
Chen, Yangeng |
|
|
16 |
C |
p. |
artikel |
14 |
Data Information integrated Neural Network (DINN) algorithm for modelling and interpretation performance analysis for energy systems
|
Ashraf, Waqar Muhammad |
|
|
16 |
C |
p. |
artikel |
15 |
Decentralized control in active distribution grids via supervised and reinforcement learning
|
Karagiannopoulos, Stavros |
|
|
16 |
C |
p. |
artikel |
16 |
Deep learning analysis of smart meter data from a small sample of room air conditioners facilitates routine assessment of their operational efficiency
|
Wang, Weiqi |
|
|
16 |
C |
p. |
artikel |
17 |
Diagnosing health in composite battery electrodes with explainable deep learning and partial charging data
|
Ruan, Haijun |
|
|
16 |
C |
p. |
artikel |
18 |
Distributed scheduling for multi-energy synergy system considering renewable energy generations and plug-in electric vehicles: A level-based coupled optimization method
|
Zhang, Linxin |
|
|
16 |
C |
p. |
artikel |
19 |
Electricity demand forecasting at distribution and household levels using explainable causal graph neural network
|
Miraki, Amir |
|
|
16 |
C |
p. |
artikel |
20 |
Explainability and Interpretability in Electric Load Forecasting Using Machine Learning Techniques – A Review
|
Baur, Lukas |
|
|
16 |
C |
p. |
artikel |
21 |
Fault detection and diagnosis of electric bus air conditioning systems incorporating domain knowledge and probabilistic artificial intelligence
|
Guo, Fangzhou |
|
|
16 |
C |
p. |
artikel |
22 |
Forecasting solar power generation using evolutionary mating algorithm-deep neural networks
|
Sulaiman, Mohd Herwan |
|
|
16 |
C |
p. |
artikel |
23 |
HVAC energy cost minimization in smart grids: A cloud-based demand side management approach with game theory optimization and deep learning
|
Heidarykiany, Rahman |
|
|
16 |
C |
p. |
artikel |
24 |
Improved deep residual shrinkage network for a multi-cylinder heavy-duty engine fault detection with single channel surface vibration
|
Zhu, Xiaolong |
|
|
16 |
C |
p. |
artikel |
25 |
Machine and deep learning driven models for the design of heat exchangers with micro-finned tubes
|
Efatinasab, Emad |
|
|
16 |
C |
p. |
artikel |
26 |
Machine Learning and Data Fusion Approach for Elastic Rock Properties Estimation and Fracturability Evaluation
|
Gong, Yiwen |
|
|
16 |
C |
p. |
artikel |
27 |
Machine learning-based multi-objective optimization and thermal assessment of supercritical CO2 Rankine cycles for gas turbine waste heat recovery
|
Turja, Asif Iqbal |
|
|
16 |
C |
p. |
artikel |
28 |
Machine learning based state-of-charge prediction of electrochemical green hydrogen production: Zink-Zwischenschritt-Elektrolyseur (ZZE)
|
Vila, Daniel |
|
|
16 |
C |
p. |
artikel |
29 |
Machine learning for CO 2 capture and conversion: A review
|
Jerng, Sung Eun |
|
|
16 |
C |
p. |
artikel |
30 |
Optimization of a photovoltaic-battery system using deep reinforcement learning and load forecasting
|
Real, António Corte |
|
|
16 |
C |
p. |
artikel |
31 |
Physics-constrained graph modeling for building thermal dynamics
|
Yang, Ziyao |
|
|
16 |
C |
p. |
artikel |
32 |
Predicting missing Energy Performance Certificates: Spatial interpolation of mixture distributions
|
Grossouvre, Marc |
|
|
16 |
C |
p. |
artikel |
33 |
Research on the technical scheme of multi-stack common rail fuel cell engine based on the demand of commercial vehicle
|
Pu, Ji |
|
|
16 |
C |
p. |
artikel |
34 |
Review of the development of power system out-of-step splitting control and some thoughts on the impact of large-scale access of renewable energy
|
Zhang, Shuai |
|
|
16 |
C |
p. |
artikel |
35 |
Secure and efficient prediction of electric vehicle charging demand using α 2 -LSTM and AES-128 cryptography
|
Bharat, Manish |
|
|
16 |
C |
p. |
artikel |
36 |
Thermal stability enhancement and prediction by ANN model
|
Liu, Ziyu |
|
|
16 |
C |
p. |
artikel |
37 |
Unraveling fundamental properties of power system resilience curves using unsupervised machine learning
|
Li, Bo |
|
|
16 |
C |
p. |
artikel |
38 |
Utilizing Artificial intelligence to identify an Optimal Machine learning model for predicting fuel consumption in Diesel engines
|
Shateri, Amirali |
|
|
16 |
C |
p. |
artikel |
39 |
Utilizing neural networks to supplant chemical kinetics tabulation through mass conservation and weighting of species depletion
|
Rohrhofer, Franz M. |
|
|
16 |
C |
p. |
artikel |