Wind-Speed-Prediction

Datasets:

Description:

The datasets contain the weather of Berlin, Germany (lat = 52.5246, lon = 13.3946) from 1995 to 2004

• dataset-monthly.csv contains the Month wise dataset (1)
• dataset-daily.csv contains day by day dataset (2)

Despriction of Both the datasets dataset-daily.csv and dataset-monthly.csv has given below:

	time	air_temperature_mean	pressure	wind_direction	wind_speed
Unit	YYYY/MM (1) / YYYY/MM/DD (2)	degC	hPa	deg	m/s
description	Time as per Gregorian calendar	Mean temperature at 2 m height	Mean air pressure at sea level	Wind direction in 10 m height	Mean wind speed at 10 m height
Minimum	1995/01 (1) / 1995/01/01 (2)	-3.6 (1) / -13.7 (2)	1005.6639 (1) / 984.4167 (2)	7 (1) / 0 (2)	2.3 (1) / 0.7 (2)
Maximum	2004/12 (1) / 2004/12/31 (2)	23 (1) / 30.6 (2)	1025.2272 (1) / 1045 (2)	359 (1) / 359 (2)	5.2 (1) / 10.3 (2)
Mean	--	10.689 (1) / 10.6 (2)	1015.56 (1) / 1015.565916 (2)	225.425 (1) / 200.6731 (2)	3.4691(1) / 3.46367 (2)
Standard Deviation	--	7.2192 (1) / 7.9858 (2)	3.7031 (1) / 9.2113 (2)	68.5984 (1) / 90.7423 (2)	0.5982 (1) / 1.458 (2)

• (1) - is the monthly dataset
• (2) - is the daily dataset

Other Content:

• Create-Dataset notebooks

  1. create-dataset-monthly.ipynb
  2. create-dataset-daily.ipynb

• Testing notebooks

  1. netCDF-test-monthly.ipynb

• Notebooks on CNN_LSTM

  1. LSTM_weather_daily.ipynb
  2. LSTM_requisite_model.txt(Textfile for further utility)
  3. LSTM_model.py(Python file to build model)

• LICENSE:-

  Apache License 2.0