Energy and AI

Titel Veröffentlichungsdatum Sprache Zitate
Fundamentals, materials, and machine learning of polymer electrolyte membrane fuel cell technology2020/08/01English213
Battery digital twins: Perspectives on the fusion of models, data and artificial intelligence for smart battery management systems2020/08/01English157
Lithium-ion battery data and where to find it2021/09/01English121
Identification and machine learning prediction of knee-point and knee-onset in capacity degradation curves of lithium-ion cells2020/08/01English108
A review and taxonomy of wind and solar energy forecasting methods based on deep learning2021/06/01English108
Multi-physics-resolved digital twin of proton exchange membrane fuel cells with a data-driven surrogate model2020/08/01English107
Machine learning for advanced energy materials2021/03/01English95
Reinforcement learning for whole-building HVAC control and demand response2020/11/01English92
Implementation for a cloud battery management system based on the CHAIN framework2021/09/01English81
Explainable Artificial Intelligence (XAI) techniques for energy and power systems: Review, challenges and opportunities2022/08/01English80
Deep reinforcement learning for home energy management system control2021/03/01English73
Data-driven smart charging for heterogeneous electric vehicle fleets2020/08/01English69
Data-based flooding fault diagnosis of proton exchange membrane fuel cell systems using LSTM networks2021/06/01English67
Prognostic for fuel cell based on particle filter and recurrent neural network fusion structure2020/11/01English62
Towards online optimisation of solid oxide fuel cell performance: Combining deep learning with multi-physics simulation2020/08/01English62
Artificial intelligence in oil and gas upstream: Trends, challenges, and scenarios for the future2021/03/01English62
Machine learning for combustion2022/01/01English61
Application of Machine Learning in Optimizing Proton Exchange Membrane Fuel Cells: A Review2022/08/01English58
A review on 5G technology for smart energy management and smart buildings in Singapore2022/01/01English57
A Review of physics-based and data-driven models for real-time control of polymer electrolyte membrane fuel cells2021/12/01English56
Integration of solar thermal and photovoltaic, wind, and battery energy storage through AI in NEOM city2021/03/01English55
Boosting the optimization of membrane electrode assembly in proton exchange membrane fuel cells guided by explainable artificial intelligence2021/09/01English50
Machine Learning and Deep Learning Methods for Enhancing Building Energy Efficiency and Indoor Environmental Quality – A Review2022/11/01English50
Methods and applications for Artificial Intelligence, Big Data, Internet of Things, and Blockchain in smart energy management2023/01/01English48
Sensitivity analysis to reduce duplicated features in ANN training for district heat demand prediction2020/11/01English42
Artificial intelligence powered large-scale renewable integrations in multi-energy systems for carbon neutrality transition: Challenges and future perspectives2022/11/01English42
Transfer learning in demand response: A review of algorithms for data-efficient modelling and control2022/01/01English41
ChemNODE: A neural ordinary differential equations framework for efficient chemical kinetic solvers2022/01/01English41
Machine learning modeling for proton exchange membrane fuel cell performance2022/11/01English41
Large eddy simulation of spray combustion using flamelet generated manifolds combined with artificial neural networks2020/11/01English40