日負荷因素 的英文怎麼說

中文拼音 [rìfùhéyīnsù]
日負荷因素 英文
daily load factor
  • 日 : Ⅰ名詞1 （太陽） sun 2 （白天） daytime; day 3 （一晝夜; 天） day 4 （泛指某一段時間） time 5 （日...
  • 負 : Ⅰ名詞1 （負擔） burden; load 2 （虧損） loss 3 （失敗） defeat Ⅱ動詞1 [書面語] （背） carry on th...
  • 荷 : 荷名詞（蓮） lotus
  • 因 : Ⅰ動詞[書面語] （沿襲） follow; carry on Ⅱ介詞1 [書面語] （憑借; 根據） on the basis of; in accord...
  • 素 : Ⅰ形容詞1 （本色; 白色） white 2 （顏色單純） plain; simple; quiet 3 （本來的; 原有的） native Ⅱ名...
  • 負荷 : [電學] load; charge; weight
  1. 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。
  2. 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。
  3. Secondly, based on the characteristic datum extracted from the datum of daily peak load, the probability model of the nature random part of power load is established ; the grey gm ( 1, 1 ) model is improved to forecast the basis part of power load ; after the relation model is established on the basis of the researching the relationship between the climate part of power load and climate factors, the probability model of the climate part of power load is established combined with the tentative probability model of temperature

    然後，在日最大負荷數據中提取自然隨機分量的特徵數據，建立其概率模型並實現參數估計；改進灰色gm （ 1 ， 1 ）模型，完成年最大負荷中基礎負荷分量預測；研究氣候負荷與各氣候因素的關系，建立合理的氣候負荷與溫度關系模型，結合假設溫度概率模型，完成年最大負荷中氣候負荷分量的概率模型建立。
  4. To meet the need of timely and accurate acquaint and analysis of the power plant fuel consumption in the reform of power industry in china, studies in this paper were mainly focused on the following several aspects : online calculation of the thermal economical performance of boiler, steam turbine and heat system was discussed and studied, and the dynamic relationship between real - time unit

    本論文從機組的熱力特性和負荷因素出發，深入地探究了火電廠的實時負荷與煤耗量的依變關系，通過計算程序得出其變化曲線；然後進一步計算出年、月、日的煤耗量，為燃料部門的購煤提供依據，以便及時做出購煤的計劃；同時分析環境溫度、煤質變化對機組煤耗量的影響。
  5. 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。
  6. 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。
  7. 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。
  8. 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。
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