Digital twin enabled transition towards the smart electric vehicle charging infrastructure: A review

G Yu, X Ye, X Xia, YQ Chen - Sustainable Cities and Society, 2024 - Elsevier
Public charging infrastructure developments are the top agenda in both industrialised and
developing countries during the global transition from fossil fuel vehicles to electric vehicles …

Data-model-interactive enhancement-based Francis turbine unit health condition assessment using graph driven health benchmark model

F Zhang, J Liu, Y Liu, H Li, X Jiang - Expert Systems with Applications, 2024 - Elsevier
As the data-driven Francis turbine units (FTUs) deterioration assessment method is widely
investigated, the data quality in actual industrial scene has become an important …

Spatial-temporal offshore wind speed characteristics prediction based on an improved purely 2D CNN approach in a large-scale perspective using reanalysis dataset

Z Zhang, J Yin - Energy Conversion and Management, 2024 - Elsevier
Accurate prediction of spatial–temporal wind speed with a large-scale perspective is vital for
the wind farm dynamic regulation, the floating wind turbine deployment and its early …

A physics-guided machine learning framework for real-time dynamic wake prediction of wind turbines

B Li, M Ge, X Li, Y Liu - Physics of Fluids, 2024 - pubs.aip.org
Efficient and accurate prediction of the wind turbine dynamic wake is crucial for active wake
control and load assessment in wind farms. This paper proposes a real-time dynamic wake …

[HTML][HTML] Enhancing solar furnace thermal stress testing using an adaptive model and nonlinear predictive control

IML Pataro, JD Gil, L Roca, JL Guzmán, M Berenguel… - Renewable Energy, 2024 - Elsevier
Solar furnaces rely on renewable energy for thermal tests using concentrated solar direct
irradiance. To address the complex dynamics and constraints of these systems, a novel …

Performance evaluation and optimization of the cascade refrigeration system based on the digital twin model

Y Li, Y Feng, C Wang, Z Xing, D Ren, L Fu - Applied Thermal Engineering, 2024 - Elsevier
Cascade refrigeration systems (CRSs) have become the priority choice in low-temperature
applications, causing severe energy waste due to the lack of practical control strategies …

[HTML][HTML] A Call for Enhanced Data-Driven Insights into Wind Energy Flow Physics

C Moss, R Maulik, GV Iungo - Theoretical and Applied Mechanics Letters, 2024 - Elsevier
With the increased availability of experimental measurements aiming at probing wind
resources and wind turbine operations, machine learning (ML) models are poised to …

Physics-inspired and data-driven two-stage deep learning approach for wind field reconstruction with experimental validation

Y Liu, R Wang, Y Gu, C Li, G Wang - Energy, 2024 - Elsevier
Accurate and reliable wind forecasts for urban blocks play a pivotal role in the construction
of zero-energy communities by guiding the selection and placement of wind turbines and the …

Instantaneous 2D extreme wind speed prediction using the novel Wind Gust Prediction Net based on purely convolutional neural mechanism

Z Zhang, J Yin - Engineering Applications of Computational Fluid …, 2024 - Taylor & Francis
Accurate prediction of spatial–temporal extreme wind gust is vital for the wind farm dynamic
regulation, the floating wind turbine deployment and its early warning. Deep-learning …

Graph-based Deep Reinforcement Learning for Wind Farm Set-Point Optimisation

H Sheehan, D Poole, T Silva Filho… - Journal of Physics …, 2024 - iopscience.iop.org
Wake steering is a form of wind farm control in which upstream turbines are deliberately
yawed to misalign with the free-stream wind in order to prevent their wakes from impacting …