Data-Driven Modelling of Operational District Energy NetworksDistrict energy networkData-driven modelThermal energy storageSimulinkThere has been a resurgence of interest in district energy networks due to the cost, energy and emission reductions they can deliver. The prohibitively large computational cost ...
data‐driven modellinghybrid modelintelligence algorithmprior knowledgeA universally applicable hybrid modelling method is proposed for nonlinear industrial processes that combine the a priori process knowledge with a data‐driven model. This method constructs a unified framework for the modelling process by ...
[119]. The details of an individual vehicle movement are used to modelling entire road traffic state. Furthermore, macroscopic models, refer to the aggregated vehicle movements, which are based on the relationship between speed and volume. They can be directly used to infer traffic volume by ...
this spatial effect was found to operate at the larger focus level, although intriguingly including vector control overcame this variability. These results show that data-driven modelling based on spatial datasets and model-data fusing methodologies will be critical...
Abstract Plant factories, also known as vertical farms, are next-generation agricultural systems that integrate various modern technologies. They are almost completely insulated from the external climate and are able to precisely and automatically control internal environmental factors such as light, tempera...
cycle life using the first 100 cycles (exhibiting a median increase of 0.2% from initial capacity) and 4.9% test error using the first 5 cycles for classifying cycle life into two groups. This work highlights the promise of combining deliberate data generation with data-driven modelling to predi...
Haller, Data-driven modelling of the regular and chaotic dynamics of an inverted flag from experiments, Journal of Fluid Mechanics 987 (2024) R7. [PDF] L. Bettini, M. Cenedese & G. Haller, Model Reduction to Spectral Submanifolds in Non-Smooth Dynamical Systems, International Journal of Non...
The growing complexity of the power grid, driven by increasing share of distributed energy resources and by massive deployment of intelligent internet-connected devices, requires new modelling tools for planning and operation. Physics-based state estimat
This work highlights the promise of combining deliberate data generation with data-driven modelling to predict the behaviour of complex dynamical systems. 论文亮点: •we develop data-driven models that accurately predict the cycle life of commercial lithium iron phosphate (LFP)/graphite cells using ...
Penny Dynamic causal modelling NeuroImage, 19 (2003), pp. 1273-1302 View PDFView articleView in ScopusGoogle Scholar 26 B.C.M. van Wijk, H. Cagnan, V. Litvak, A.A. Kühn, K.J. Friston Generic dynamic causal modelling: An illustrative application to Parkinson's disease NeuroImage, ...