lideqin Goto Github PK

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fsoi

Forecast Sensitivity to Observations and Observation Impact

genbe_2.0

Repository for the new stand-alone GEN_BE capability for WRFDA.

hello_world

just a test

hrldas

HRLDAS (High Resolution Land Data Assimilation System)

pycinrad

Decode CINRAD (China New Generation Weather Radar) data and visualize.

read_cinrad

satpy

Python package for earth-observing satellite data processing

test

usefull-ncl-scrp

some ncl scripts to draw NWP model

weather_recognition_system

Convolutional neural network to determine the current weather based on an image outdoors

wind-energy-forecasting

wind-energy-prediction-using-lstm

Time Series Analysis using LSTM for Wind Energy Prediction.

wind-power-forecasting-challenge

Wind Power forecasting for the day-ahead energy market - Data Challenge

wind-turbine-power-curve-estimation

In this project, I have employed various regression techniques to estimate the Power curve of an on-shore Wind turbine. Nonlinear trees based ensemble regression methods perform best as true power curve is nonlinear. I have implemented and optimized XGBoost using GridSearchCV that yields lowest Test RMSE-6.404.

wrf

The official repository for the Weather Research and Forecasting (WRF) model

wrf-offi

wrfda_gmdd

for GMDD paper