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Time Series Forecasting of Meteorological Parameters

Product Image: Time Series Forecasting of Meteorological Parameters

Time Series Forecasting of Meteorological Parameters

0 - Default Title
Description
This book focuses on the time series forecasting of critical meteorological parameters including temperature, rainfall, humidity, and wind. It explores classical statistical models such as ARIMA, Holt-Winters, and Exponential Smoothing, along with a novel enhancement-the Modified Sliding Window Algorithm. The objective is to improve prediction accuracy in meteorological datasets by applying adaptive techniques. Real-time weather data has been analyzed using these models, and a comparative study highlights the performance of each. This work is beneficial for researchers, meteorologists, and data scientists working in climate modeling and weather prediction.
Product details
Binding:
Paperback
Number of Pages:
100
Release Date:
2025-05-20
Publication Date:
2025-05-20
Publisher:
LAP LAMBERT Academic Publishing
Languages:
Original: English
ISBN10:
6208445914
ISBN13:
9786208445911
Weight:
167 g
Height:
150 cm
Width:
220 cm
Thickness:
6 cm
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