科技广场
科技廣場
과기엄장
SCIENCE TECHNOLOGY PLAZA
2015年
2期
34-39
,共6页
生活能源消费%小波分析%预测
生活能源消費%小波分析%預測
생활능원소비%소파분석%예측
Household Energy Consumption%Wavelet Analysis%Prediction
生活能源消费关系到人们日常生活的基本问题，做好未来生活能源消费的预测具有重要意义。本文以1983—2012年我国生活能源消费量数据为基础，提出小波建模预测方法。通过小波分析中的Mallat算法将原始序列分解为逼近与细节部分，分别对逼近与细节部分建模预测，将预测值通过小波重构得到原始序列的预测值。对预测结果的评价表明预测效果很好。
生活能源消費關繫到人們日常生活的基本問題，做好未來生活能源消費的預測具有重要意義。本文以1983—2012年我國生活能源消費量數據為基礎，提齣小波建模預測方法。通過小波分析中的Mallat算法將原始序列分解為逼近與細節部分，分彆對逼近與細節部分建模預測，將預測值通過小波重構得到原始序列的預測值。對預測結果的評價錶明預測效果很好。
생활능원소비관계도인문일상생활적기본문제，주호미래생활능원소비적예측구유중요의의。본문이1983—2012년아국생활능원소비량수거위기출，제출소파건모예측방법。통과소파분석중적Mallat산법장원시서렬분해위핍근여세절부분，분별대핍근여세절부분건모예측，장예측치통과소파중구득도원시서렬적예측치。대예측결과적평개표명예측효과흔호。
Household energy consumption is fundamental to the people's daily life. It is of great significance to predict future household energy consumption. The author comes up with wavelet modeling prediction on the ba-sis of the data of household energy consumption in China between 1983~2012. The original sequence is decom-posed into approximation and detail section by means of Mallat algorithm in wavelet analysis, modeling prediction to the approximation and detail section. We take a wavelet reconstruction on this predictive value to obtain the pre-dictive value of original sequence. The evaluation of predicted result shows its effect is very good.
