Trends of Electricity Consumption In Jordan

Ahmed Banimustafa, Zakaria A. M. Al-Omari
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引用次数: 1

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) Results in 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.
约旦电力消费趋势
电在现代文明中起着至关重要的作用。然而,尽管发电技术有所发展,但大电网的储能仍然有限,这就需要优化发电和配电,以满足需求并减少浪费,从而有助于降低成本和减少碳排放。预测实际用电量对实现这些目标具有决定性作用。本文旨在基于覆盖一年的历史数据集调查约旦电力消耗的趋势。该分析涵盖了小时、天、周、月和季节的电力消耗的时间分析。它还研究了不同天气条件和温度水平下的电力消耗趋势。分析中使用的数据集使用复杂的数据科学步骤进行处理,其中包括(1)数据整理,(2)数据处理,(3)特征工程,(4)趋势分析和(5)评估结果。本研究获得的趋势分析结果非常有前景,因为它证实了数据的有效性和潜力,可以使用时间序列,回归和机器学习算法进行更多的预测性预测分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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