Soft Computing Techniques for Weather Forecasting: A Review
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-3485-0_32
Reference47 articles.
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2. Scher S (2018) Toward data-driven weather and climate forecasting: approximating a simple general circulation model with deep learning. Geophys Res Lett 45(22):12–616
3. Eymen A, Köylü Ü (2019) Seasonal trend analysis and ARIMA modeling of relative humidity and wind speed time series around Yamula Dam. Meteorol Atmos Phys 131(3):601–612
4. Wanishsakpong W, Owusu BE (2020) Optimal time series model for forecasting monthly temperature in the southwestern region of Thailand. Model Earth Syst Environ 6(1):525–532
5. Swain S, Nandi S, Patel P (2018) Development of an ARIMA model for monthly rainfall forecasting over Khordha district, Odisha, India. In: Recent findings in intelligent computing techniques, pp 325–331. Springer, Singapore
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