作业帮请将以下英文翻译成中文 感激不尽! 谢绝电脑直翻
来源：学生作业帮 编辑：拍题作业网作业帮 分类：英语作业 时间：2024/04/30 09:00:26
请将以下英文翻译成中文 感激不尽! 谢绝电脑直翻
The most distinct property of electricity is its volatility. Volatility is the measure of change in the price of electricity over a given period of time. It is often expressed as a percentage and computed as the annualized standard deviation of percentage change in the daily price (other prices such as weekly or monthly prices can also be used), Compared with load, the price of electricity in a restructured power market is much more volatile. From the curves, we learn that the load curve is relatively homogeneous and its variations are cyclic and the price curve is nonhomogeneous and its variations show a little cyclic property. Although electricity price is very volatile, it is not regarded as random. Hence, it is possible to identify certain patterns and rules pertaining to market volatility. For example, transmission congestion usually incurs a price spike which is not sustained as electricity price would revert to a more reasonable level (this is known as mean reversion in statistics). It is conceivable to use historical prices to forecast electricity prices. Accordingly, we
use a training scheme to capture perceived patterns for forecasting electricity prices.
The fundamental reason for electricity price spike is that the supply and demand must be matched on a second-by-second basis.Other reasons follow:
\2 Volatility in fuel price
\2 Load uncertainty
\2 Fluctuations in hydroelectricity production
\2 Generation uncertainty (outages)
\2 Transmission congestion
\2 Behavior of market participant (based on anticipated price)
\2 Market manipulation (market power, counterparty risk)
Because of the special properties of electricity, the price of electricity is far more volatile than that of other relatively volatile commodities. The annualized volatility of oil future contracts is around 30%; it is around 50% for natural gas future contracts, while about 60% for electricity future contracts. In electricity spot markets, annualized volatility is above 200%. Because of the significant volatility, it is difficult to make an accurate forecast for the spot market of electricity. This is evidenced by the fact that the existing price forecasting accuracy is far lower than that of load forecasting. However, price forecasting accuracy is not as stringent as that of load forecasting
The most distinct property of electricity is its volatility. Volatility is the measure of change in the price of electricity over a given period of time. It is often expressed as a percentage and computed as the annualized standard deviation of percentage change in the daily price (other prices such as weekly or monthly prices can also be used), Compared with load, the price of electricity in a restructured power market is much more volatile. From the curves, we learn that the load curve is relatively homogeneous and its variations are cyclic and the price curve is nonhomogeneous and its variations show a little cyclic property. Although electricity price is very volatile, it is not regarded as random. Hence, it is possible to identify certain patterns and rules pertaining to market volatility. For example, transmission congestion usually incurs a price spike which is not sustained as electricity price would revert to a more reasonable level (this is known as mean reversion in statistics). It is conceivable to use historical prices to forecast electricity prices. Accordingly, we
use a training scheme to capture perceived patterns for forecasting electricity prices.
The fundamental reason for electricity price spike is that the supply and demand must be matched on a second-by-second basis.Other reasons follow:
\2 Volatility in fuel price
\2 Load uncertainty
\2 Fluctuations in hydroelectricity production
\2 Generation uncertainty (outages)
\2 Transmission congestion
\2 Behavior of market participant (based on anticipated price)
\2 Market manipulation (market power, counterparty risk)
Because of the special properties of electricity, the price of electricity is far more volatile than that of other relatively volatile commodities. The annualized volatility of oil future contracts is around 30%; it is around 50% for natural gas future contracts, while about 60% for electricity future contracts. In electricity spot markets, annualized volatility is above 200%. Because of the significant volatility, it is difficult to make an accurate forecast for the spot market of electricity. This is evidenced by the fact that the existing price forecasting accuracy is far lower than that of load forecasting. However, price forecasting accuracy is not as stringent as that of load forecasting
电最明显的性质是其波动性.波动是衡量在给定的时间内电价格的变化.它是常用百分数的形式表示和按年计算的标准偏差的百分比在每日价格（其他价格,例如每周或每月价格也会被使用）的变化来计算,数据的变化百分率的每日价格(其他的价格,例如每周或每月的价格也会被使用).相比之下,在重组电力市场负荷、电价格是更加不稳定的.从曲线上我们学到负荷曲线是相对均匀的,而且它的变化是循环的和价格曲线是不均匀的以及价格的变化显示少许的循环的财产.尽管电价格是波动的,它不被看作是随机的.因此,识别某些的样式和属于市场的波动性的规则是有可能的.例如,传送阻塞常遭受价格的不稳定变化,作为电的价格将会恢复到一个更加合理的水平上(这就是在统计学中为人熟知的均值恢复).使用历史的价格预测电价格是可相信的.相应地,为预测电的价格,我们使用一个训练计划来俘获知觉模式.
电价格波动的最基本原因是基于两两基础的供给和需求的匹配.其他原因如下:
燃料价格的波动性
负荷的不确定性
水力电生产的起伏现象
一代不确定性(中断)
传送阻塞
市场参与者的行为(基于预期的价格)
操纵市场行为(市场力量,交易风险)
由于电的特殊性能,电的价格远比其他的相对挥发性商品更不稳定.石油未来的合同的年度波动达到30%左右;它是天然气未来的合同的50%左右,然而未来合同约60%为电未来合同.在电的现货市场、年度波动是200%以上.由于较大的波动,对电的现货市场做一个精确的预测是困难的.现存价格预测的精确性远低于负荷预测的事实得到了证实.然而,价格预测的准确性与负荷预测是不一样严格的.
电价格波动的最基本原因是基于两两基础的供给和需求的匹配.其他原因如下:
燃料价格的波动性
负荷的不确定性
水力电生产的起伏现象
一代不确定性(中断)
传送阻塞
市场参与者的行为(基于预期的价格)
操纵市场行为(市场力量,交易风险)
由于电的特殊性能,电的价格远比其他的相对挥发性商品更不稳定.石油未来的合同的年度波动达到30%左右;它是天然气未来的合同的50%左右,然而未来合同约60%为电未来合同.在电的现货市场、年度波动是200%以上.由于较大的波动,对电的现货市场做一个精确的预测是困难的.现存价格预测的精确性远低于负荷预测的事实得到了证实.然而,价格预测的准确性与负荷预测是不一样严格的.