weather load 中文意思是什麼
weather load
解釋
風雨負荷-
To improve accuracy of forecasting, all the facts, such as influence of basic load, temperature, weather related sensitive factors and festive national holidays are considered systematically and simultaneously
為提高負荷預測的精度，本文同時考慮基本負荷、溫度、天氣敏感因素、節假日等多種影響負荷預測的因素。 -
As to the selection of neural network input node, not only is related historical load was introduced as ? the drilling sample, but also influence of temperature and weather sensitive factors to the load variance is considered. 4
在神經網路輸入節摘要點的選擇方面，除了引入相關歷史負荷作訓練樣本外，還考慮了溫度、氣候敏感因素和特徵日對負荷變化的影響，提高了負荷預測的精度。 -
By the comparison of calculation result with the tests result, it was concluded that the method to calculate the year temperature difference and day temperature difference from weather data was feasible. by this method, it was got that the statistic parameters of combined temperature difference in base period and the reliability to different anti - crack index was calculated the combination of thermal effects and load effects was considering in this paper
對多年氣象資料進行了統摘要浙江大學博士學位論文2003計分析，將其轉化為結構的年溫差和日溫差，並與實測值進行了比較;在此基礎上得到了設計基準期內的結構組合溫差統計參數以及不同抗裂指標所對應的可靠度。 -
Given the thermal physical parameters of the envelops and the weather data, the above two parameters are determined by the following system design parameters : radiant panel dimension, radiant panel location and radiant panel layout style ( center or peripheral ). based on the thermal net model, digital analysis of the energy consumption and thermal environment are carried out to the several representative spaces under different design parameters, through which the relations of the heating load to the design parameters are obtained and can be a reference in the practical system design
對于給定圍護結構熱物性參數和室外氣候參數的條件下，室內平均輻射溫度和室內空氣溫度的大小取決于系統的設計參數：輻射板的布置方式（周邊布置和中心布置） 、輻射板尺寸和輻射板鋪設位置。基於熱網模型，利用matlab軟體編程對採暖空間在不同設計參數下室內的熱環境和能耗進行數值分析，得出了低溫熱水地板輻射採暖系統的性能和能耗指標隨這些參數變化的規律，從而為低溫熱水地板輻射採暖系統的優化設計提供了參考。 -
In china and abroad, almost all of the dynamic load simulation software cannot calculate the hourly cooling load of the building, under random weather and building conditions
國內外，幾乎所有動態負荷模擬軟體都無法計算出任意氣象和任意建築條件下的建築物逐時冷負荷。 -
Single exponent smoothness model fully embodies the characters of trend and cycle of the continuous varying power load, but it can not think about the effect of the weather elements carefully
一次指數平滑模型充分體現了負荷連續變化的趨勢性和周期性，但是沒有詳細考慮天氣因素對負荷的影響。 -
Considering the bad prediction of weather and economic data and the difficulty to obtain the data, it ’ s not feasible to contact the load with its influencing factors some times. in fact, the weather information of each month is correlative and be comprised load series
由於氣象、經濟資料的不準確性，以及在季度負荷預測中的難以獲取性，因此將負荷的這些影響因素與負荷之間建立定量的關系有時是不可行的。 -
Test method of compression load for automobile weather - strips
汽車密封條壓縮負荷試驗方法 -
The essential cause inducing weather and unloading is distict difference between epigenetic - surface and deep condition. firstly, the dissertation introduces the background conditions that are the base of damsite granite rockmass weathring and unloading ; secondly, the mechanism of the rockmass weathering and unloading is probed into ; thirdly, different degree weathered zones and load - off zones are compartmentalized. tastly, right rockmass which meet the dambase demand is choosed. above - mentioned is the dissertation " s technical course which is clearly from base research to application research.
本文以黃河拉西瓦水電站壩基花崗巖體為研究對象，從風化、卸荷發生的根本原因?巖體在地表與深部存在巨大環境差異為契入點，制定了從背景條件?機理研究?風化、卸荷分帶?壩基可利用巖體選取這樣一條從基礎研究到應用研究的較為明晰的技術路線。 -
At last, based on the analysis of electric load, we build 24 - hour forecasting models according the type of the date and the weather. with all above the discussions, we build the software
在對負荷變化規律分析的基礎上提出了按日期類型分開建模的24小時預測模型，並對天氣因素進行了有效處理。 -
The paper attempt to applied sequential cluster method to set up the classification standard, then it regards the correlation coefficients of record values as weights and predicts the future loads by using markov chain model with weights. this method make the best of the information comprised in load series and solved the problem of obtaining weather information. not only the concrete value of the monthly sales electric energy but its range in the future is gained
實際上，各月份的氣象、經濟因素之間具有一定的相關性，這些相關信息已經包含在負荷序列中，本文嘗試將馬爾可夫鏈理論應用於負荷預測之中，應用聚類分析的方法確定分級標準，將負荷分為不同的狀態，根據狀態之間的轉移概率來推測未來負荷的發展變化，並將觀測值之間的相關系數作為權值進行綜合預測，更加合理地利用了負荷序列中包含的信息，不僅可以預測出未來負荷的具體值，而且得到了其所屬的區間，具有一定的實用價值。 -
Impact analysis of hourly weather factors in short - term load forecasting and its processing strategy
短期負荷預測中實時氣象因素的影響分析及其處理策略 -
This present thesis analyzes the characteristics of the load in - depth. and studies the factors which effect the precision of the load forecasting, such as the type of day, special holidays, all kind of weather factors and so on
通過對電力系統負荷特性的認真深入分析，總結了影響短期負荷預測的各種因素如日類型、特殊節假日、各種天氣因素等。 -
If at some point a problem occurs with the weather control so that it cannot be loaded during a specific request, and yet the rest of the page does load successfully, the custom personalization data that a user has saved for that control would be lost the next time the personalization data for the page is saved
如果天氣控制項在某些時候出現問題，以致無法在特定請求過程中加載，而頁的其餘部分加載成功，用戶已為該控制項保存的自定義個性化設置數據在下次保存該頁的個性化設置數據時則會丟失。 -
By the weather data of typical year from meteorological observation, the building facing correction factors of heating load of 27 cities in china are listed. not only the effect of direct solar radiation on the building facing correction factor, but also that of diffuse solar radiation is considered. this paper also analysis the effect of different building facing correction factors on the calculation of heating load
以各氣象臺站實測典型年氣象資料為基礎，綜合考慮了直射輻射和散射輻射兩種情況，給出了全國27個城鎮的各朝向修正系數，並對採用不同修正系數對房間負荷計算的影響進行了對比分析。 -
The powerful learning ability and nonlinear reflecting functions of the artificial neural networks can combine the weather factors, typical days and historical load data, but it is not good enough at the embodying continuous variance
神經網路模型有力的知識學習能力和非線性映射功能，將氣象因素、類型日及歷史負荷數據與負荷變化有機結合起來，但此模型對負荷變化的連續波動性體現不夠。 -
A model for short term and super short term forecasting integrating neural network, expert system and dynamic clustering is introduced here, which involves weather, festival and other load forecasting affecting factors
介紹了一種整合神經網路、專家系統和動態聚類多種智能方法為一體的短期/超短期預測模型，綜合考慮了氣象、節假日等負荷影響因素。 -
In the paper, the following work was accomplished by theoretical analysis, numerical simulation and experiments : this paper analysis the weather character in beijing, solar irradiance in south wall of buildings and inner surface temperature of south windows and wall in winter has been calculated hourly. with the winter solar irradiance character, calculating the hourly heat load
主要研究內容如下:本文對北京地區的氣候進行了分析，對冬季建築物壁面的太陽輻射強度、南外窗和南外墻的內壁溫進行了逐時計算，並結合冬季太陽輻射的特點進行了逐時熱負荷計算。
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