Monitoring Energy-Loss-Driven-Cost by Using Earned Value Simulation in Complex Systems

Ashraf Zaghwan, Yousef Amer, Mahmoud Efatmaneshnik, N. Abdussamie
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Abstract

The economic impact of energy loss stemming from end-user electricity consumption is a significant concern, with historical trends revealing escalating costs. Effectively managing both peak and off-peak demands remains a formidable challenge due to the unpredictable nature of consumer behaviors, leading to energy wastage. This study delves into the nexus of demand uncertainty, financial repercussions, and potential strategies to mitigate energy losses in the evolving landscape of electricity consumption.that causes financial loss. This simulation measure of time series data serves the purpose of determining what possibly contributes to policy and regulatory reforms and its notion as an economic growth pathway in Australia. The objective of this study is to build a relationship between social factors and financial aspects and discuss the issue of energy loss that emerges from the lack of leverage between end-users, providers and suppliers of electricity. Recognising the financial burdens associated with energy loss as electricity demand continues to rise, the investigation aims to elucidate the complexities underlying the difficulties in controlling these losses. The distinctiveness of the electricity industry, characterised by its prototypical nature, introduces dynamics that contribute to energy losses, thereby impacting electricity prices. Employing quantitative analysis, this research employs the Earned Value Method (EVM) tool to scrutinise the influential role of consumer behavior in precipitating financial losses. The study provides a comprehensive examination of the interplay between electricity demand and the adverse effects of energy loss during peak and off-peak consumption periods. Utilising time series data through simulation measures, the research identifies key metrics influencing the formation of electricity costs and prices. The findings not only contribute to a deeper understanding of the energy loss parameter but also offer insights into potential policy and regulatory reforms. With a focus on Australia, the research aims to establish a relationship between social factors and financial considerations, emphasising the issue of energy loss arising from the lack of alignment between end-users, providers, and suppliers of electricity. The study concludes by proposing pathways for economic growth through strategic interventions and collaborative efforts within the electricity ecosystem.
在复杂系统中使用挣值模拟监测能源损失驱动成本
终端用户用电造成的能源损耗对经济的影响是一个重大问题,历史趋势表明成本在不断攀升。由于消费者行为的不可预测性,有效管理高峰和非高峰需求仍然是一项艰巨的挑战,从而导致能源浪费。本研究深入探讨了需求不确定性、财务影响以及在不断变化的电力消费环境中减少能源损失的潜在策略之间的关系。这项对时间序列数据的模拟测量旨在确定哪些因素可能有助于政策和监管改革,并将其视为澳大利亚的经济增长途径。本研究的目的是在社会因素和财务方面之间建立联系,并讨论由于最终用户、电力供应商和供电商之间缺乏杠杆作用而产生的能源损失问题。由于认识到随着电力需求的持续增长,能源损耗会带来沉重的经济负担,本研究旨在阐明控制能源损耗困难背后的复杂性。电力行业的特点是其原型性,这就引入了导致能源损耗的动态因素,从而对电价产生影响。本研究通过定量分析,采用挣值法(EVM)工具,仔细研究了消费者行为在造成经济损失方面的影响作用。研究全面考察了高峰和非高峰消费时段的电力需求与能源损耗之间的相互作用。研究通过模拟措施利用时间序列数据,确定了影响电力成本和价格形成的关键指标。研究结果不仅有助于加深对能源损耗参数的理解,还为潜在的政策和监管改革提供了启示。该研究以澳大利亚为重点,旨在建立社会因素与财务因素之间的关系,强调由于最终用户、电力供应商和供电商之间缺乏协调而产生的能源损耗问题。研究最后提出了通过战略干预和电力生态系统内的合作努力促进经济增长的途径。
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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