liuxiaojian90,github

2023_slides_deepreinforcementlearning_activeflowcontrol_afms

slides of my talk about Deep Reinforcement Learning for Active Flow Control

2d_deepreinforcementlearning_rayleighbenard_control_shenfun_tensorforce

pointer repository to the actual location

ann-windspeed-forecast

Ensemble ANN with two ensembles a MLP and LSTM network for wind speed prediction

cylinder2dflowcontroldrl

code for performing active flow control of the 2D Karman street using Deep Reinforcement Learning

cylinder2dflowcontroldrlparallel

Parallelizing DRL for Active Flow control

cylinder2dflowcontrolgeneral

Robust active flow control over a range of Reynolds numbers using artificial neural network trained through deep reinforcement learning

deep-learning

Comparison of GRU, BGRU, BGRU-ATT, LSTM, BLSTM, BLSTM-ATT, BLSTM-TRA, BGRU-ATT models for wind speed prediction

deepreinforcementlearning_rayleighbenard2d_control

Control of 2D Rayleigh Benard Convection using Deep Reinforcement Learning with Tensorforce and Shenfun.

diffusion_sand_slide

Model and cases respository for sand slide model based on slope-limited diffustion

foam-fsi

Fluid-Structure Interaction solvers for foam-extend

hyporheicfoam

A solver for hyporheic flow and coupled biogeochemcial reative transport based on OpenFOAM.

ibscourfoam

A three-dimensional scour model implemented with OpenFOAM

ibwallfunction_openfoam

An immersed boundary method with y+-adaptive wall function for smooth wall shear

lstm-based-short-term-wind-power-forecasting

Long Short Term Memory Wind Prediction

lstm-wind-forecasting

LSTM model for forecasting wind-power generation

shallowfoam

OpenFOAM-based solver for 2D shallow water equations

shallowfoamtutorials

Tutorials for shallow water solver shallowFoam

shallowinterfoam

This is the shallowInterFoam solver, described in the paper 'A bi-directional coupling of 2D shallow water and 3D Reynolds-averaged Navier–Stokes models' (DOI: 10.1080/00221686.2017.1419989)

shallowinterfoamtutorials

These are two tutorial cases for the shallowInterFoam solver

short-term-wind-speed-prediction-based-on-deep-learning

Short-Term-Wind-Speed-Prediction-based-on-Deep-Learning

wind-speed-estimation-using-lstm

Predicts Wind speed for given number of days ,model is trained on LSTM

wind-speed-neural-network

Using Keras to develop a model to predict future windspeed in the Charlottesville area with a LSTM neural network

wind-speed-prediction

🍃 Wind Speed Prediction Model based on Pytorch

wind-speed-prediction-using-classical-time-series-method-and-lstm-network

Classical Time Series Method and LSTM Models are applied for Wind Speed Prediction

CNN-LSTM based wind speed forecasting: This repo contains a project using IMS data to predict 24-hour wind speeds, enhancing wind energy efficiency. Includes data, models, and scripts for easy adaptability to other meteorological variables.

wind_speed_lstm

Wind speed prediction using vanilla LSTM

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