nitinvinayak / Time-Series-Analysis-and-Forecasting-on-Weather-Data

MATH F432: Applied Statistical Methods Project

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Time Series Analysis and Forecasting on Weather Data

Prepared in partial fulfillment of MATH F432: Applied Statistical Methods

About the Data

The raw data contains 35 features in CSV format for 15 years (2000 to 2014) with a frequency of 1 hour. The data has weather information for Charanka, Gujarat, India.

Data Preparation

Following features were considered for the analysis-

Year, Month, Day, Hour - The temporal components GHI (Gross Horizontal Irradiance) - Solar Energy potential measure Wind Speed - Wind Energy potential measure

Data Analysis Methodology

pandas and numpy library from python was used to load the data and various statistical experiments were done to determine the potential of the place for renewable energy.

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MATH F432: Applied Statistical Methods Project


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