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来源类型 | FEEM working papers "Note di lavoro" series |
规范类型 | 论文 |
Modelling the Load Curve of Aggregate Electricity Consumption Using Principal Components | |
Matteo Manera; Angelo Marzullo | |
发表日期 | 2003 |
出处 | Energy: Resources and Markets |
出版年 | 2003 |
语种 | 英语 |
摘要 | Since oil is a non-renewable resource with a high environmental impact, and its most common use is to produce combustibles for electricity, reliable methods for modelling electricity consumption can contribute to a more rational employment of this hydrocarbon fuel. In this paper we apply the Principal Components (PC) method to modelling the load curves of Italy, France and Greece on hourly data of aggregate electricity consumption. The empirical results obtained with the PC approach are compared with those produced by the Fourier and constrained smoothing spline estimators. The PC method represents a much simpler and attractive alternative to modelling electricity consumption since it is extremely easy to compute, it significantly reduces the number of variables to be considered, and generally increases the accuracy of electricity consumption forecasts. As an additional advantage, the PC method is able to accommodate relevant exogenous variables such as daily temperature and environmental factors, and it is extremely versatile in computing out-of-sample forecasts. |
特色分类 | C51,C53,Q30,Q40 |
关键词 | Electricity,Load curves,Principal components,Fourier estimator,Constrained smoothing estimator,Temperature,Non-renewable resources,Hydrocarbon fuels,Environment |
URL | https://www.feem.it/en/publications/feem-working-papers-note-di-lavoro-series/modelling-the-load-curve-of-aggregate-electricity-consumption-using-principal-components/ |
来源智库 | Fondazione Eni Enrico Mattei (Italy) |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/116923 |
推荐引用方式 GB/T 7714 | Matteo Manera,Angelo Marzullo. Modelling the Load Curve of Aggregate Electricity Consumption Using Principal Components. 2003. |
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文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
NDL2003-095.pdf(3263KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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