Trends of Electricity Consumption in Jordan

EasyChair Preprint no. 9429

Abstract

Electricity plays a crucial role in modern civilization. However, despite technological development in electricity generation, storage in large grids is still limited, which necessitates optimizing the electricity generation and distribution to meet demand and reduce waste which can help reduce costs and cut carbon emissions. Predicting the actual electricity consumption can be decisive in achieving these endeavors. This paper aims to investigate the trends of electricity consumption in Jordan based on a historical dataset covering one year. The analysis covers the temporal analysis of electricity consumption over hours, days, weeks, months, and seasons. It also examines the electricity consumption trends in different weather conditions and temperature levels. The dataset used in the analysis was processed using sophisticated data science steps, which involved (1) Data Wrangling, (2) Data Processing, (3) Features Engineering, (4)Trends Analysis, and (5) Result Evaluation. The trend analysis results achieved in this study were very promising, as it confirms the validity and potential of the data to carry out more predictive forecasting analysis using time series, regression, and machine learning algorithms.

Keyphrases: Data Science, Electricity demand, Electricity Forecasting, Smart Grid, trend analysis

@Booklet{EasyChair:9429,
  author = {Ahmed Banimustafa and Zakaria Al-Omari},
  title = {Trends of Electricity Consumption in Jordan},
  howpublished = {EasyChair Preprint no. 9429},

  year = {EasyChair, 2022}}