结果显示,住宅全年室内温度在10~30 ℃波动 owing to自然通风和供冷供暖的混合运行模式。人员空调使用行为受室内温度影响显著。夏季,的英语翻译

结果显示,住宅全年室内温度在10~30 ℃波动 owing to自然通

结果显示,住宅全年室内温度在10~30 ℃波动 owing to自然通风和供冷供暖的混合运行模式。人员空调使用行为受室内温度影响显著。夏季,空调使用集中在6月下旬至9月上旬、晚上时段(18:00~),且日均用电量显著大于冬季,揭示了该地区住宅空调以供冷为主的使用特性。可从夏季空调开启概率与室内空气温度的Logistic回归模型中得出结论,室内温度在22~36 ,人员空调开启概率随室内温度呈S型变化。 [关键词] 住宅建筑;人员行为;分体式空调;使用特点;预测模型
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目标语言: -
结果 (英语) 1: [复制]
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The results show that the annual indoor temperature of the residence fluctuates between 10 and 30 ℃ owing to a mixed operation mode of natural ventilation and cooling and heating. <br><br>The air-conditioning behavior of personnel is significantly affected by the indoor temperature. In summer, the use of air-conditioning is concentrated in late June to early September and at night (18:00~), and the average daily electricity consumption is significantly greater than in winter, revealing the characteristics of residential air-conditioning in this area for cooling. <br><br><br>It can be concluded from the logistic regression model of summer air-conditioning opening probability and indoor air temperature that the indoor temperature is between 22 and 36, and the air-conditioning opening probability of personnel presents an S-shaped change with indoor temperature. <br>[Keywords] residential building; personnel behavior; split air-conditioning; usage characteristics; prediction model
正在翻译中..
结果 (英语) 2:[复制]
复制成功!
结果显示,住宅全年室内温度在10~30 ℃波动 owing to自然通风和供冷供暖的混合运行模式。<br><br>人员空调使用行为受室内温度影响显著。夏季,空调使用集中在6月下旬至9月上旬、晚上时段(18:00~),且日均用电量显著大于冬季,揭示了该地区住宅空调以供冷为主的使用特性。<br><br><br>可从夏季空调开启概率与室内空气温度的Logistic回归模型中得出结论,室内温度在22~36 ,人员空调开启概率随室内温度呈S型变化。<br> [关键词] 住宅建筑;人员行为;分体式空调;使用特点;预测模型
正在翻译中..
结果 (英语) 3:[复制]
复制成功!
The results show that the indoor temperature fluctuates from 10 ℃ to 30 ℃ throughout the year.<br>The indoor temperature has a significant effect on the air-conditioning behavior. In summer, the use of air conditioning is concentrated in late June to early September, and in the evening (18:00 ~), and the daily average power consumption is significantly greater than that in winter, which reveals that the residential air conditioning in this area is mainly used for cooling.<br>The conclusion can be drawn from the logistic regression model between the opening probability of air conditioning and indoor air temperature in summer. When the indoor temperature is between 22 and 36, the opening probability of personnel air conditioning changes in S-shape with indoor temperature.<br>[Key words] residential building; personnel behavior; split air conditioning; use characteristics; prediction model<br>
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