A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Cauvery, N. K.
- A Study of Temperature Data Analytics and to Analyze the Future Value Forecasting
Authors
1 Department of ISE, R.V. College of Engineering, Bengaluru, Karnataka-560059, IN
Source
Programmable Device Circuits and Systems, Vol 10, No 5 (2018), Pagination: 101-103Abstract
Temperature analysis is the process of analyzing the temperature records to make a study on temperature behaviors, its variations etc.in different regions. These records are usually collected from the meteorological center. In this paper, the work carried out is on the data analytics of temperature. Temperature data analytics is performed on the data collected from meteorological center of India for a period of 20 years (1995-2014) of the Bengaluru station. The hidden pattern analysis is carried out on that data and also a forecasting model is built on it. A linear regression algorithm and ARIMA (Autoregressive Integrated Moving Average) algorithm is used to perform the forecasting. The qualifying results such as analysis on the factor that influences the temperature, the summarization of temperature of 20 years, prediction of next year data are performed. The paper gives a quick summarization of data of temperature which is easy to understand and helps the researcher to perform further analysis.
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