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Energy and AI
Title
Publication Date
Language
Citations
A novel combined multi-battery dataset based approach for enhanced prediction accuracy of data driven prognostic models in capacity estimation of lithium ion batteries
2021/09/01
English
21
Two-stage capacity optimization approach of multi-energy system considering its optimal operation
2020/08/01
English
20
Autoencoder-based anomaly root cause analysis for wind turbines
2021/06/01
English
20
Battery state-of-charge estimation using machine learning analysis of ultrasonic signatures
2022/11/01
English
20
Perspective: Predicting and optimizing thermal transport properties with machine learning methods
2022/05/01
English
20
Prediction of sorption enhanced steam methane reforming products from machine learning based soft-sensor models
2020/11/01
English
20
Prediction of office building electricity demand using artificial neural network by splitting the time horizon for different occupancy rates
2021/09/01
English
20
Consensus-based dispatch optimization of a microgrid considering meta-heuristic-based demand response scheduling and network packet loss characterization
2023/01/01
English
19
Data-driven modelling of energy demand response behaviour based on a large-scale residential trial
2021/06/01
English
19
Using Bayesian deep learning approaches for uncertainty-aware building energy surrogate models
2021/03/01
English
19
Development of a Soft Actor Critic deep reinforcement learning approach for harnessing energy flexibility in a Large Office building
2021/09/01
English
19
Application of self-adaptive temperature recognition in cold-start of an air-cooled proton exchange membrane fuel cell stack
2022/08/01
English
19
Enhanced oxygen reduction kinetics by a porous heterostructured cathode for intermediate temperature solid oxide fuel cells
2020/11/01
English
18
Geospatial assessment of rooftop solar photovoltaic potential using multi-source remote sensing data
2022/11/01
English
18
A co-training style semi-supervised artificial neural network modeling and its application in thermal conductivity prediction of polymeric composites filled with BN sheets
2021/06/01
English
18
Wind power forecasting based on new hybrid model with TCN residual modification
2022/11/01
English
18
AI and freedom for evolution in energy science
2020/08/01
English
18
Degradation prediction of proton exchange membrane fuel cell stack using semi-empirical and data-driven methods
2023/01/01
English
18
Synthetic demand data generation for individual electricity consumers : Generative Adversarial Networks (GANs)
2022/08/01
English
18
Artificial intelligence in renewable systems for transformation towards intelligent buildings
2022/11/01
English
18
A data-driven approach for predicting long-term degradation of a fleet of micro gas turbines
2021/06/01
English
18
A deep neural network based model for the prediction of hybrid electric vehicles carbon dioxide emissions
2021/09/01
English
18
Integration of multi-physics and machine learning-based surrogate modelling approaches for multi-objective optimization of deformed GDL of PEM fuel cells
2023/10/01
English
17
Lévy-flight moth-flame optimisation algorithm-based micro-grid equipment sizing: An integrated investment and operational planning approach
2021/03/01
English
17
Predicting entropy and heat capacity of hydrocarbons using machine learning
2021/06/01
English
17
Flexible electricity price forecasting by switching mother wavelets based on wavelet transform and Long Short-Term Memory
2022/11/01
English
17
Deep learning in fault detection and diagnosis of building HVAC systems: A systematic review with meta analysis
2023/04/01
English
16
Physics-constrained deep learning for data assimilation of subsurface transport
2021/03/01
English
16
Electrical demand aggregation effects on the performance of deep learning-based short-term load forecasting of a residential building
2022/05/01
English
16
Combining machine learning with 3D-CFD modeling for optimizing a DISI engine performance during cold-start
2021/09/01
English
15
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