人体舒适度指数

人体舒适度指数人体舒适度指数
  1. 人体舒适度指数对用电负荷的影响

    The Effect of Human Body Amenity Indicator to Load Characteristic

  2. 中国20座旅游城市人体舒适度指数分析

    Analysis of human body comfort index of 20 tourist cities in China

  3. 基于人体舒适度指数的夏季负荷特性分析

    Summer Load Characteristic Analysis Based on Body Comfort Index

  4. 经长春电网实际数据预测计算,证明此方法与引入人体舒适度指数前相比,可减少输入单元的个数,提高负荷预测精度。

    It is proved by simulation results that the replacement has achieved a good performance in decreasing the number of input as well as increasing forecasting accuracy .

  5. 通过引入人体舒适度指数这一气象新概念,对电网负荷与气象变化之间的关系进行相关性、离散性和灵敏度分析。

    Though inducting the new meteorologic concept of human body amenity indicator , make the analysis of correlation , variance and sensitivity between grid load and meteorology change .

  6. 应用人体舒适度指数模型对降温后的局域环境进行人体舒适度分析,验证了细水雾大空间局域环境调节技术的可行性。

    The human comfort index model is adopted in the analysis of human comfort of cooling space to validate the feasibility of fine water mist cooling for regulation in large space of local environment .

  7. 通过对南京电网的分析可得,相对于日最高气温、日最低气温而言,使用人体舒适度指数更能准确表明日最大负荷的变化。

    Though the analysis of Nanjing grid it can conclude that using the human body amenity indicator can show the most load change by rule and line compared to daily highest temperature and daily lowest temperature .

  8. 将降温前后的人体舒适度指数进行对比后发现:细水雾大空间局域环境调节技术能够改变局域环境的人体舒适度指数,环境质量得到明显改善。

    Based on the comparison of human comfort index around the spray cooling , the fine water mist regulation in large space of local environment would descend the human comfort index of local environment . The quality of environment should be improved significantly .

  9. 人体舒适度气候指数Web评价系统的建立与应用

    Establishment and Application of Human Comfort Climate Index Estimated Model

  10. 该方法采用综合气象因子(人体舒适度和温湿指数)作为输入,克服了气象因子直接输入时输入量多、预测时间长的缺点。

    This method uses comprehensive weather factors , namely the human body amenity indicator and THI ( temperature and humidity index ), as inputs , which overcomes the disadvantages such as too many inputs and long forecasting time when weather factors are direct inputs .