負荷預測 的英文怎麼說

中文拼音 [fùhéyùcè]
負荷預測 英文
load forecast
  • 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
  • 預 : Ⅰ副詞（預先; 事先） in advance; beforehand Ⅱ動詞（參與） take part in
  • 測 : 動詞1. （測量） survey; fathom; measure 2. （測度; 推測） conjecture; infer
  • 負荷 : [電學] load; charge; weight
  • 預測 : calculate; forecast; prognosis; divine; forecasting; foreshadowing; predetermination
  1. Electric load forecasting based on arima model and bp network

    網路的電力負荷預測
  2. Accurate load forecasting is helpful to planning generators " starting and stopping in the interior of the electrical networks economically and reasonably, preserving the security and stability of power system, reducing the unnecessary circumvolving repertory capacity, making planning to overhaul the units in reason, ensuring the normal production and life of the society, effectively reducing the cost of generating electricity, increasing the economical and social benefit

    電力負荷預測是供電部門的重要工作之一，準確的負荷預測，可以經濟合理地安排電網內部發電機的啟停，保持電網運行的安全穩定性，減少不必要的旋轉儲備容量，合理安排機組檢修計劃，保證社會的正常生產和生活，有效地降低發電成本，提高經濟效益和社會效益。
  3. Load predictions for district heating systems based on a wnn model

    基於小波網模型的區域供熱系統負荷預測
  4. Then, mre reaches 3. 21 % for workday and 5. 96 % for holiday. a unique next 24 hours hourly cooling load prediction ann model is established

    對工作日負荷預測，其平均預測誤差是3 . 21 ；對假日負荷，其平均預測誤差是5 . 96 。
  5. Mean relative error ( mre ) is reduced to 1. 36 % from 2. 02 %. based on a unique day cooling load predicting ann model, day cooling load predicting ann model for workday and holiday is established respectively

    在研究一個統一的日冷負荷預測模型來預測周一到周日所有日子的日冷負荷的基礎上，針對工作日和假日分別建立了日總冷負荷的神經網路預測模型。
  6. Short - term load forecasting based on subtractive clustering adaptive neuro - fuzzy inference system

    基於減法聚類的自適應模糊神經網路的短期負荷預測
  7. Thus, urban gas load forecasting is an important research. it is a very important research task to forecast city gas load, for one hand, it will affect the planning of city gas pipe network, on the other hand, it is connected to the investment benefits and security of entire natural gas pipelines, and it ’ s meaningful for urban gas optimizing attemperation and gas pipeline optimizing operation

    因此，預知燃氣負荷的大小也就是城市用氣系統的負荷預測是一項非常重要的研究課題，它不僅關繫到城市燃氣管網規劃，還關繫到整個天然氣長輸管線的投資效益和可靠性，對將來連接各城市的天然氣局域網路的優化調度和城市燃氣管網的優化運行都有十分重要的意義。
  8. Boiler plant load forecasting based on bp artificial neural network

    神經網路的工業鍋爐房負荷預測
  9. Chapter iii tries to establish the mathematic model of daily gas consumption forecasting, focusing on the introduction of index smooth forecasting theory and determining the reasonable flatness constant

    第三章，建立了日用氣負荷預測的數學模型，重點介紹了指數平滑預測理論，確定了合理的平滑常數，進行日用氣負荷預測，用歷史統計數據與預測結果進行對比分析。
  10. Natural gas load forecasting based on least squares support vector machine

    基於最小二乘支持向量機的天然氣負荷預測
  11. Static and dynamic simulation for natural gas pipe network and natural gas load forecasting is an important work of natural gas management system

    天然氣管網系統穩動態模擬及其負荷預測是天然氣管理系統中的一項重要工作。
  12. This thesis is concerned with two problems : static and dynamic simulation for natural gas pipeline network and short - time natural gas load forecasting

    本文主要研究了天然氣管網系統穩動態模擬和天然氣短期負荷預測兩個問題。
  13. Gas load forecasting include : long - term 、 middle - term 、 short - term 、 very short - term load forecasting. this dissertation emphasizes on short - term forecasting

    燃氣負荷預測包括長期負荷預測、中期負荷預測、短期負荷預測及超短期負荷預測。
  14. The basic concept, task and method of data mining technology are introduced, the present situation and application methods of city gas load forecasting are analyzed, and the application of this technology in city gas load forecasting is discussed

    摘要介紹了數據挖掘技術的基本概念、任務和方法，分析了城市燃氣負荷預測的現狀和應用方法，探討了數據挖掘技術在城市燃氣負荷預測中的應用。
  15. Residential electricity consumption load forecasting based on dynamic clustering and partial least - squares regression

    基於動態聚類與偏最小二乘回歸分析的居民用電負荷預測
  16. The paper completes daily load forecasting based on clustering analysis and ann. this offers credible basis for scheming generating electricity

    本文利用聚類分析、神經網路方法實現了電力系統日負荷預測，為發電計劃的制定提供了可靠依據。
  17. This article aims at the research and exploitation of day loading forecast system of electrical net of hebei province, and expatiates emphatically the process and meaning of the realization of loading forecast system of electrical net that based on intellectualized

    本文針對河北電網日負荷預測系統的研究與開發，著重闡述了基於智能化的電力負荷預測系統的實現過程及其意義。
  18. This paper analyzes the character of the transformer load and presents the control means to reduce the comprehensive power loss to minimum by controlling the transformer operation status, which forecasts the daily load of transformer by periodical auto - regression model ( par ) and divides the daily flow line automatically into two typical phases. then, this paper simulates the par by matlab. at last, a real intelligent control device based on the ti ’ s tms320lf2407 dsp has been completed

    論文分析了配電變壓器的負載特點；提出採用周期自回歸模型預測配電站用電日負荷，根據負荷預測結果和用電時段，以綜合功率損耗最小為目的變壓器經濟運行控制方法；以ti公司的tms320lf2407dsp為基礎，完成了配電站變壓器經濟運行智能監控裝置的研製。
  19. In summer, load is affectd by meteorological elements greatly. based on multidimension time series approach, the car model is constructed, which could take account into the accumalated influence from temperature and inertia action from historic load, meanwhile, the advantage of the model is that its expreaasion is in the form of apparent function, which could provide us some quaqutive imformation existed between input variable and output variable

    本文以多維時間序列分析方法為基礎，成功地解決了未來日負荷與前些日負荷慣性變化的影響，以及氣象累計效應的影響顯性函數關系問題，從而為負荷預測人員掌握未來負荷與歷史負荷，歷史氣象要素與當日氣象條件之間的規律，提供了量化的分析基礎。
  20. Annual peak load is affected by multifarious factors, specially by local circumstance. at present, the methods of annual peak load forecasting are simple and low precision, and furthermore, none of these methods is considering of local circumstance

    年最大負荷受多種因素影響，地區性特點強，目前的預測方法較為簡單，分析精度不高，且沒有針對地區特點的年最大負荷預測方法。
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