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 batteries2021/09/01English21
Two-stage capacity optimization approach of multi-energy system considering its optimal operation2020/08/01English20
Autoencoder-based anomaly root cause analysis for wind turbines2021/06/01English20
Battery state-of-charge estimation using machine learning analysis of ultrasonic signatures2022/11/01English20
Perspective: Predicting and optimizing thermal transport properties with machine learning methods2022/05/01English20
Prediction of sorption enhanced steam methane reforming products from machine learning based soft-sensor models2020/11/01English20
Prediction of office building electricity demand using artificial neural network by splitting the time horizon for different occupancy rates2021/09/01English20
Consensus-based dispatch optimization of a microgrid considering meta-heuristic-based demand response scheduling and network packet loss characterization2023/01/01English19
Data-driven modelling of energy demand response behaviour based on a large-scale residential trial2021/06/01English19
Using Bayesian deep learning approaches for uncertainty-aware building energy surrogate models2021/03/01English19
Development of a Soft Actor Critic deep reinforcement learning approach for harnessing energy flexibility in a Large Office building2021/09/01English19
Application of self-adaptive temperature recognition in cold-start of an air-cooled proton exchange membrane fuel cell stack2022/08/01English19
Enhanced oxygen reduction kinetics by a porous heterostructured cathode for intermediate temperature solid oxide fuel cells2020/11/01English18
Geospatial assessment of rooftop solar photovoltaic potential using multi-source remote sensing data2022/11/01English18
A co-training style semi-supervised artificial neural network modeling and its application in thermal conductivity prediction of polymeric composites filled with BN sheets2021/06/01English18
Wind power forecasting based on new hybrid model with TCN residual modification2022/11/01English18
AI and freedom for evolution in energy science2020/08/01English18
Degradation prediction of proton exchange membrane fuel cell stack using semi-empirical and data-driven methods2023/01/01English18
Synthetic demand data generation for individual electricity consumers : Generative Adversarial Networks (GANs)2022/08/01English18
Artificial intelligence in renewable systems for transformation towards intelligent buildings2022/11/01English18
A data-driven approach for predicting long-term degradation of a fleet of micro gas turbines2021/06/01English18
A deep neural network based model for the prediction of hybrid electric vehicles carbon dioxide emissions2021/09/01English18
Integration of multi-physics and machine learning-based surrogate modelling approaches for multi-objective optimization of deformed GDL of PEM fuel cells2023/10/01English17
Lévy-flight moth-flame optimisation algorithm-based micro-grid equipment sizing: An integrated investment and operational planning approach2021/03/01English17
Predicting entropy and heat capacity of hydrocarbons using machine learning2021/06/01English17
Flexible electricity price forecasting by switching mother wavelets based on wavelet transform and Long Short-Term Memory2022/11/01English17
Deep learning in fault detection and diagnosis of building HVAC systems: A systematic review with meta analysis2023/04/01English16
Physics-constrained deep learning for data assimilation of subsurface transport2021/03/01English16
Electrical demand aggregation effects on the performance of deep learning-based short-term load forecasting of a residential building2022/05/01English16
Combining machine learning with 3D-CFD modeling for optimizing a DISI engine performance during cold-start2021/09/01English15