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The variability characteristics of Guangdong daily power load from 2002 to 2004 and its connection to meteorological variables are analyzed with wavelet analysis and correlation analysis.Prediction equations are established using optimization subset regression. The results show that a linear increasing trend is very significant and seasonal change is obvious. The power load exhibits significant quasi-weekly (5 - 7 days) oscillation, quasi-by-weekly (10 - 20 days) oscillation and intraseasonal (30 - 60 days) oscillation. These oscillations are caused by atmospheric low frequency oscillation and public holidays. The variation of Guangdong daily power load is obviously in decrease on Sundays, shaping like a funnel during Chinese New Year in particular. The minimum is found at the first and second day and the power load gradually increases to normal level after the third day during the long vacation of Labor Day and National Day. Guangdong power load is the most sensitive to temperature, which is the main affecting factor, as in other areas in China. The power load also has relationship with other meteorological elements to some extent during different seasons. The maximum of power load in summer, minimum during Chinese New Year and variation during Labor Day and National Day are well fitted and predicted using the equation established by optimization subset regression and accounting for the effect of workdays and holidays. 相似文献
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运用统计分析和气象统计预报的方法,对广东省8个气象站的日10分钟平均最大风速和日瞬间极大风速资料进行分析,发现这两种风速资料有较好的近似线性的关系。通过建立这两种风速的回归方程,获得判别这两风速记录的准确性及估计两风速数值的客观方法。 相似文献
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利用广州新电视塔自动站和中大自动站2007年9月至2009年4月的观测资料,结合天气形势进行对比分析,结果表明:热带气旋天气类型的阵风特点是平均阵风、瞬间阵风最大,强风影响的时间长,大气边界层与地面风力差最大;冷空气天气类型的阵风特点是平均阵风较大,瞬间阵风最小,强风影响的时间长,大气边界层与地面风力差最小;低槽天气类型的阵风特点是平均阵风最小,瞬间阵风较大,强风影响的时间短,大气边界层与地面风力差较大。在热带气旋天气类型中,在珠江口和粤西沿海地区登陆的热带气旋对广州大气边界层的风力影响最大,最大阵风出现在热带气旋强度最强且路径离广州最近的时间段里;另外,弱冷空气对热带气旋的风力有增强作用。在冷空气天气类型中,500hPa形势场的旋转型低槽有利于大气边界层出现强风。在低槽天气类型中,强低槽类型有利于大气边界层出现时间长强度强的阵风,雷雨大风类型有利于大气边界层出现短时极大风。 相似文献
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The variability characteristics of Guangdong daily power load from 2002 to 2004 and its connection to meteorological variables are analyzed with wavelet analysis and correlation analysis. Prediction equations are established using optimization subset regression. The results show that a linear increasing trend is very significant and seasonal change is obvious. The power load exhibits significant quasi-weekly (5 – 7 days) oscillation, quasi-by-weekly (10 – 20 days) oscillation and intraseasonal (30 – 60 days) oscillation. These oscillations are caused by atmospheric low frequency oscillation and public holidays. The variation of Guangdong daily power load is obviously in decrease on Sundays, shaping like a funnel during Chinese New Year in particular. The minimum is found at the first and second day and the power load gradually increases to normal level after the third day during the long vacation of Labor Day and National Day. Guangdong power load is the most sensitive to temperature, which is the main affecting factor, as in other areas in China. The power load also has relationship with other meteorological elements to some extent during different seasons. The maximum of power load in summer, minimum during Chinese New Year and variation during Labor Day and National Day are well fitted and predicted using the equation established by optimization subset regression and accounting for the effect of workdays and holidays. 相似文献
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2002~2004年广东电力负荷的变化特征及预测 总被引:2,自引:2,他引:2
利用2002~2004年广东逐日电力负荷资料,采用小波分析、相关分析等方法研究了广东电力负荷的变化特征及与气象因子的关系,并采用最优子集回归方法建立了预测方程。结果表明,广东电力负荷具有非常明显的线性增长趋势,季节变化明显。存在明显的5~7天的准单周振荡,10~20天的准双周振荡及30~60天左右的季节内振荡。它们主要由大气低频振荡及节假日的影响所致。广东电力负荷在周日具有较明显的下降,春节期间呈明显的漏斗状分布,“五一”、“国庆”长假期间最低值主要出现在1~2日,3日以后逐渐恢复到正常状态。与我国其它地区一样,广东电力负荷对温度的变化最敏感,温度是其主要的影响因子,在不同的季节与不同的气象因子还有一定的关系。用最优子集回归方法建立的回归方程并考虑工作日、节假日期间的影响,对夏季峰值、春节谷值、“五一”、“国庆”期间的变化均有较好的拟合与预测。 相似文献
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The variation characteristics of precipitation during the winter (between October and the
following March, to be referred to as just “the winter” hereafter) in Guangdong province during the past 50
years (from 1957 to 2006) and the relationship with Pacific SST are studied using the methods of
Empirical Orthogonal Function (EOF) analysis, wavelet analysis, and correlation analysis. The results
show that The Guangdong precipitation during the winter exhibits quasi-periodic significant oscillations of
40 years and 2 years; rainfall is less from the end of the 1950s to the start of the 1970s and from the end of
the 1990s to the present than from the mid 1970s to the mid 1990s. The frequency of sustained drought is
more than sustained flooding during the winter. The Guangdong precipitation during this time period is in
significantly positive correlation to the equatorial central and eastern Pacific SST, but in a significantly
negative correlation with the western and northern Pacific SST east of the Philippine Sea. 61.5% of the
sustained drought occurred in the phase of negative anomalies of the Ni?o3.4 index and 38.5% in the
phase of positive ones. A composite analysis of atmospheric circulation is performed for the positive and
negative phases of the Ni?o3.4 region associated with the sustained drought. The results showed that a
weak polar vortex, a strong trough in Europe and a ridge near Balkhash Lake, active cold air and consistent
northerly wind anomalies controlling Guangdong at low levels, an inactive westerly low disturbance in the
low-mid latitude of the Asian continent, and a weak southern branch westerly trough, are all mutual causes
for the sustained drought. 相似文献