Time Series Analysis – National Energy Demand

Project Overview

This project performs a time series analysis of national energy demand over a four-year period.
Both univariate and multivariate techniques are applied to uncover:

• Cyclical and seasonal patterns in energy demand
• Relationships between demand and key external variables

The analysis focuses on understanding how energy generation, temperature, and wind speed relate to fluctuations in national demand over time.

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Objectives

• Explore temporal patterns and cyclicity in national energy demand
• Identify seasonal and recurring trends
• Analyze relationships between demand and:
  • Energy generation
  • Temperature
  • Wind speed
• Compare univariate and multivariate time series perspectives
• Provide insights relevant for energy planning and forecasting

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Data Source

Primary Dataset

• energy_demand.csv
  • Contains national demand measurements over four years
  • Includes associated explanatory variables such as generation, temperature, and wind speed

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Technologies & Libraries Used

This project is implemented in R using the following packages:

Data Manipulation

• dplyr
• lubridate

Visualization

• ggplot2
• ggpubr
• gridExtra
• GGally
• corrplot

Time Series Analysis

• tseries

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Environment Setup

Install the required packages using:

install.packages(c(
  "ggplot2", "tseries", "gridExtra", "dplyr",
  "corrplot", "ggpubr", "GGally", "lubridate"
))