MODELLING AND FORECASTING ENERGY DEMAND: PRINCIPLES AND DIFFICULTIES

机译：建模和预测能源需求：原理和困难

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We give a brief description of how energy demand can be modelled as a function of calendar data, meteorological data and economic variables. The principles of energy demand models are presented and a brief overview of commonly used mathematical methods is given. For each method advantages and disadvantages are described. Some examples illustrate difficulties that may be encountered when using meteorological data in energy models. These difficulties are discussed and we propose some steps weather services could take to facilitate the use of meteorological data in the energy sector.

机译：我们简要介绍了如何根据日历数据，气象数据和经济变量对能源需求进行建模。介绍了能源需求模型的原理，并简要概述了常用的数学方法。对于每种方法，都描述了优点和缺点。一些示例说明了在能源模型中使用气象数据时可能遇到的困难。讨论了这些困难，我们建议气象服务可以采取一些步骤，以促进能源部门中气象数据的使用。

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来源
《Management of weather and climate risk in teh energy industry》|2008年|P.207-226|共20页
会议地点 Santa Maria di Leuca(IT)
作者
MARTIN FISCHER;
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作者单位

Metnext, 17 rue de la Banque, 75002 Paris;

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会议组织
原文格式 PDF
正文语种 eng
中图分类安全科学;
关键词
energy demand; forecast; modeling; non-linear;

机译：能源需求；预测;造型;非线性的;

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MODELLING AND FORECASTING ENERGY DEMAND: PRINCIPLES AND DIFFICULTIES

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