Jiannong Fang

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jiannong.fang@epfl.ch +41 21 693 57 01

https://orcid.org/0000-0002-9205-6444

EPFL ENAC IIE WIRE
GR B2 390 (Bâtiment GR)
Station 2
1015 Lausanne

+41 21 693 57 01
Office: GR B2 390
EPFL > ENAC > IIE > WIRE

Web site: Web site: https://wire.epfl.ch

EPFL SCITAS
ME B2 444 (Bâtiment ME)
Station 9
1015 Lausanne

+41 21 693 57 01
Office: ME B2 444
EPFL > VPA-AVP-CP > SCITAS > SCITAS-GE

Web site: Web site: https://scitas.epfl.ch/

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Administrative data

Fields of expertise

Computational Fluid Dynamics; High Performance Computing; Groundwater Flow and Transport; Rheology of Complex Fluids

Current work

Large Eddy Simulation; Immersed Boundary Method; Fast Projection Methods for Incompressible Flows; Wind Power Forecasting

Publications

Infoscience publications

2025

Explainable modeling for wind power forecasting: A Glass-Box model with high accuracy

W. Liao; J. Fang; B. Bak-Jensen; G. Ruan; Z. Yang et al.

International Journal of Electrical Power and Energy Systems. 2025. DOI : 10.1016/j.ijepes.2025.110643.

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TimeGPT in load forecasting: A large time series model perspective

W. Liao; S. Wang; D. Yang; Z. Yang; J. Fang et al.

Applied Energy. 2025. DOI : 10.1016/j.apenergy.2024.124973.

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2024

Evolution of Turbulent Boundary Conditions on the Surface of Large Barchan Dunes: Anomalies in Aerodynamic Roughness and Shear Velocity, Aeolian Threshold, and the Role of Dune Skewness

M. Y. Louge; A. Valance; J. Fang; S. J. Harnett; F. Porté-Agel et al.

Journal of Geophysical Research: Earth Surface. 2024. DOI : 10.1029/2023JF007599.

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Can we trust explainable artificial intelligence in wind power forecasting?

W. Liao; J. Fang; L. Ye; B. Bak-Jensen; Z. Yang et al.

Applied Energy. 2024. DOI : 10.1016/j.apenergy.2024.124273.

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2023

A Fast Hybrid Pressure-Correction Algorithm for Simulating Incompressible Flows by Projection Methods

J. Fang

Algorithms. 2023. DOI : 10.3390/a16060287.

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2021

Numerical Weather Prediction and Artificial Neural Network Coupling for Wind Energy Forecast

L. Donadio; J. Fang; F. Porté-Agel

Energies. 2021. DOI : 10.3390/en14020338.

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2019

Wind Energy Prediction in Highly Complex Terrain by Computational Fluid Dynamics

D. Tabas; J. Fang; F. Porté-Agel

Energies. 2019. DOI : 10.3390/en12071311.

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2018

Shifts in wind energy potential following land-use driven vegetation dynamics in complex terrain

J. Fang; A. Peringer; M.-S. Stupariu; I. Pǎtru-Stupariu; A. Buttler et al.

Science of The Total Environment. 2018. DOI : 10.1016/j.scitotenv.2018.05.083.

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2017

Direct numberical simulation of turbulent slope flows up to Grash of number Gr=2.1 x 10(11)

M. G. Giometto; G. G. Katul; J. Fang; M. B. Parlange

Journal of Fluid Mechanics. 2017. DOI : 10.1017/jfm.2017.372.

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2016

Intercomparison of Terrain-Following Coordinate Transformation and Immersed Boundary Methods for Large-Eddy Simulation of Wind Fields over Complex Terrain

J. Fang; F. Porté-Agel

Journal of Physics: Conference Series. 2016. DOI : 10.1088/1742-6596/753/8/082008.

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2015

Large-Eddy Simulation of Very-Large-Scale Motions in the Neutrally Stratified Atmospheric Boundary Layer

J. Fang; F. Porté-Agel

Boundary Layer Meteorology. 2015. DOI : 10.1007/s10546-015-0006-z.

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2013

Flow over Hills: A Large-Eddy Simulation of the Bolund Case

M. Diebold; C. Higgins; J. Fang; A. Bechmann; M. B. Parlange

Boundary-Layer Meteorology. 2013. DOI : 10.1007/s10546-013-9807-0.

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2012

Interaction between large wind farms and the atmospheric boundary layer

F. Porte-Agel; H. Lu; Y.-T. Wu

2012. 23rd International Congress of Theoretical and Applied Mechanics (ICTAM), Beijing, China, August 19-24, 2012. p. 307 - 318. DOI : 10.1016/j.piutam.2014.01.026.

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A MLS-based lattice spring model for simulating elasticity of materials

G.-F. Zhao; J. Fang; J. Zhao

International Journal of Computational Methods. 2012. DOI : 10.1142/S0219876212500375.

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A coupled distinct lattice spring model for rock failure under dynamic loads

G. Zhao; N. Khalili; J. Fang; J. Zhao

Computers and Geotechnics. 2012. DOI : 10.1016/j.compgeo.2011.12.006.

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2011

A 3D distinct lattice spring model for elasticity and dynamic failure

G.-F. Zhao; J. Fang; J. Zhao

International Journal for Numerical and Analytical Methods in Geomechanics. 2011. DOI : 10.1002/nag.930.

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Towards oscillation-free implementation of the immersed boundary method with spectral-like methods

J. Fang; M. Diebold; C. Higgins; M. Parlange

Journal of Computational Physics. 2011. DOI : 10.1016/j.jcp.2011.07.017.

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2009

On the truly meshless solution of heat conduction problems in heterogeneous media

J. Fang; G. F. Zhao; J. Zhao; A. Parriaux

Numerical heat Transfer Part B-Fundamentals. 2009. DOI : 10.1080/10407790802605067.

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On the high frequency oscillatory tube flow of healthy human blood

M. A. Moyers-Gonzalez; R. G. Owens; J. Fang

Journal of Non-Newtonian Fluid Mechanics. 2009. DOI : 10.1016/j.jnnfm.2009.06.005.

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Improved SPH methods for simulating free surface flows of viscous fluids

J. Fang; A. Parriaux; M. Rentschler; C. Ancey

Applied Numerical Mathematics. 2009. DOI : 10.1016/j.apnum.2008.02.003.

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Teaching & PhD

Past EPFL PhD Students

Giometto Marco Giovanni , Zhao Gaofeng ,

Jiannong Fang

Fields of expertise

Current work

Publications

Infoscience publications

2025

Explainable modeling for wind power forecasting: A Glass-Box model with high accuracy

TimeGPT in load forecasting: A large time series model perspective

2024

Evolution of Turbulent Boundary Conditions on the Surface of Large Barchan Dunes: Anomalies in Aerodynamic Roughness and Shear Velocity, Aeolian Threshold, and the Role of Dune Skewness

Can we trust explainable artificial intelligence in wind power forecasting?

2023

A Fast Hybrid Pressure-Correction Algorithm for Simulating Incompressible Flows by Projection Methods

2021

Numerical Weather Prediction and Artificial Neural Network Coupling for Wind Energy Forecast

2019

Wind Energy Prediction in Highly Complex Terrain by Computational Fluid Dynamics

2018

Shifts in wind energy potential following land-use driven vegetation dynamics in complex terrain

2017

Direct numberical simulation of turbulent slope flows up to Grash of number Gr=2.1 x 10(11)

2016

Intercomparison of Terrain-Following Coordinate Transformation and Immersed Boundary Methods for Large-Eddy Simulation of Wind Fields over Complex Terrain

2015

Large-Eddy Simulation of Very-Large-Scale Motions in the Neutrally Stratified Atmospheric Boundary Layer

2013

Flow over Hills: A Large-Eddy Simulation of the Bolund Case

2012

Interaction between large wind farms and the atmospheric boundary layer

A MLS-based lattice spring model for simulating elasticity of materials

A coupled distinct lattice spring model for rock failure under dynamic loads

2011

A 3D distinct lattice spring model for elasticity and dynamic failure

Towards oscillation-free implementation of the immersed boundary method with spectral-like methods

2009

On the truly meshless solution of heat conduction problems in heterogeneous media

On the high frequency oscillatory tube flow of healthy human blood

Improved SPH methods for simulating free surface flows of viscous fluids

Teaching & PhD

Past EPFL PhD Students

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