nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A comparative framework for evaluating machine learning models in forecasting electricity demand for port microgrids
|
Micallef, Alexander |
|
|
20 |
C |
p. |
artikel |
2 |
Advanced day-ahead scheduling of HVAC demand response control using novel strategy of Q-learning, model predictive control, and input convex neural networks
|
Heidarykiany, Rahman |
|
|
20 |
C |
p. |
artikel |
3 |
Advancing oil and gas emissions assessment through large language model data extraction
|
Chen, Zhenlin |
|
|
20 |
C |
p. |
artikel |
4 |
AI-driven digital circular economy with material and energy sustainability for industry 4.0
|
Zhou, Yuekuan |
|
|
20 |
C |
p. |
artikel |
5 |
A novel weight-based ensemble method for emerging energy players: an application to electric vehicle load prediction
|
Villalonga Palou, Joan Tomàs |
|
|
20 |
C |
p. |
artikel |
6 |
Artificial Neural Network (ANN) driven Techno-Economic Predictions for Micro Gas Turbines (MGT) based Energy Applications
|
Weerakoon, A.H.Samitha |
|
|
20 |
C |
p. |
artikel |
7 |
Comparison of Kolmogorov–Arnold Networks and Multi-Layer Perceptron for modelling and optimisation analysis of energy systems
|
Ansar, Talha |
|
|
20 |
C |
p. |
artikel |
8 |
Data-driven analysis of hysteresis and stability in perovskite solar cells using machine learning
|
Parayil Shaji, Sharun |
|
|
20 |
C |
p. |
artikel |
9 |
Data-driven modeling of open circuit voltage hysteresis for LiFePO 4 batteries with conditional generative adversarial network
|
Yan, Lisen |
|
|
20 |
C |
p. |
artikel |
10 |
Data efficiency assessment of generative adversarial networks in energy applications
|
Nabila, Umme Mahbuba |
|
|
20 |
C |
p. |
artikel |
11 |
Deciphering city-level residential AMI data: An unsupervised data mining framework and case study
|
Li, Han |
|
|
20 |
C |
p. |
artikel |
12 |
Deep learning-based dual monitoring system for power forecasting and fault detection in nuclear power applications
|
Lyu, Mingzhe |
|
|
20 |
C |
p. |
artikel |
13 |
Domain-informed CNN architectures for downscaling regional wind forecasts
|
Campbell, Alexander M. |
|
|
20 |
C |
p. |
artikel |
14 |
Efficient estimation of convective cooling of photovoltaic arrays: A physics-informed machine learning approach
|
Wang, Dapeng |
|
|
20 |
C |
p. |
artikel |
15 |
Explainable multi-step heating load forecasting: Using SHAP values and temporal attention mechanisms for enhanced interpretability
|
Neubauer, Alexander |
|
|
20 |
C |
p. |
artikel |
16 |
Federated proximal policy optimization with action masking: Application in collective heating systems
|
Ghane, Sara |
|
|
20 |
C |
p. |
artikel |
17 |
Federated Reinforcement Learning for decentralized peer-to-peer energy trading
|
Ye, Zhian |
|
|
20 |
C |
p. |
artikel |
18 |
Geospatial Mapping of Large-Scale Electric Power Grids: A Residual Graph Convolutional Network-Based Approach with Attention Mechanism
|
Ahshan, Razzaqul |
|
|
20 |
C |
p. |
artikel |
19 |
Half-hourly electricity price prediction model with explainable-decomposition hybrid deep learning approach
|
Ghimire, Sujan |
|
|
20 |
C |
p. |
artikel |
20 |
Human-in-the-loop control strategy for IoT-based smart thermostats with Deep Reinforcement Learning
|
Fatehi Karjou, Payam |
|
|
20 |
C |
p. |
artikel |
21 |
Hybrid forecasting of demand flexibility: A top-down approach for thermostatically controlled loads
|
Massidda, Luca |
|
|
20 |
C |
p. |
artikel |
22 |
Hybrid transformer model with liquid neural networks and learnable encodings for buildings’ energy forecasting
|
Antonesi, Gabriel |
|
|
20 |
C |
p. |
artikel |
23 |
Industrial energy forecasting using dynamic attention neural networks
|
Majeske, Nicholas |
|
|
20 |
C |
p. |
artikel |
24 |
Interdependent design and operation of solar photovoltaics and battery energy storage for economically viable decarbonisation of local energy systems
|
Li, Dacheng |
|
|
20 |
C |
p. |
artikel |
25 |
Law of conservation-guided neural network with gradient aggregation for improved energy efficiency optimization in industrial processes
|
Bardeeniz, Santi |
|
|
20 |
C |
p. |
artikel |
26 |
Machine learning identification of Electric Vehicles from charging session data
|
Ferretti, Federico |
|
|
20 |
C |
p. |
artikel |
27 |
Metaheuristic multi-objective optimization with artificial neural networks surrogate modeling for optimal energy-economic performance for CSP technology
|
Allouhi, A. |
|
|
20 |
C |
p. |
artikel |
28 |
Methodology for predicting material performance by context-based modeling: A case study on solid amine CO2 adsorbents
|
Li, Shuangjun |
|
|
20 |
C |
p. |
artikel |
29 |
Multi-objective optimization of hybrid electric vehicles energy management using multi-agent deep reinforcement learning framework
|
Li, Xiaoyu |
|
|
20 |
C |
p. |
artikel |
30 |
Municipal heat planning within The World Avatar
|
Tsai, Yi-Kai |
|
|
20 |
C |
p. |
artikel |
31 |
Optimising quantile-based trading strategies in electricity arbitrage
|
O’Connor, Ciaran |
|
|
20 |
C |
p. |
artikel |
32 |
Performance assessment of machine learning techniques in electronic nose systems for power transformer fault detection
|
Araya, Sergi Torres |
|
|
20 |
C |
p. |
artikel |
33 |
Physics-constrained transfer learning: Open-circuit voltage curve reconstruction and degradation mode estimation of lithium-ion batteries
|
Hofmann, Tobias |
|
|
20 |
C |
p. |
artikel |
34 |
Physics-informed machine learning for enhanced prediction of condensation heat transfer
|
Lee, Haeun |
|
|
20 |
C |
p. |
artikel |
35 |
Physics-Informed Neural Network for modeling and predicting temperature fluctuations in proton exchange membrane electrolysis
|
Zerrougui, Islam |
|
|
20 |
C |
p. |
artikel |
36 |
Positive and negative convolution cross-connect neural network for predicting the remaining useful life of lithium-ion batteries
|
Bak, Gwiman |
|
|
20 |
C |
p. |
artikel |
37 |
Probabilistic ultra-short-term solar photovoltaic power forecasting using natural gradient boosting with attention-enhanced neural networks
|
Song, Zhe |
|
|
20 |
C |
p. |
artikel |
38 |
Review of machine learning techniques for energy sharing and biomass waste gasification pathways in integrating solar greenhouses into smart energy systems
|
Mahdavi, Navid |
|
|
20 |
C |
p. |
artikel |
39 |
Synergistic Artificial Intelligence framework for robust multivariate medium-term wind power prediction with uncertainty envelopes
|
Wu, Bo |
|
|
20 |
C |
p. |
artikel |
40 |
Topology-informed machine learning for efficient prediction of solid oxide fuel cell electrode polarization
|
Szemer, Maksym |
|
|
20 |
C |
p. |
artikel |
41 |
Two-stage deep Q-network reinforcement learning based ultra-efficient fault diagnosis and severity assessment scheme for photovoltaic protection
|
Salehpour, Sherko |
|
|
20 |
C |
p. |
artikel |
42 |
Wind-induced transmission line interruption fragility models: An adaptive GAN-augmented probabilistic classification approach for extremely unbalanced data
|
Al-Mahrouqi, Mazin |
|
|
20 |
C |
p. |
artikel |