short term forecasting 中文意思是什麼

short term forecasting 解釋
短期預報
  • short : n 蕭特〈姓氏〉。adj 1 短的；短暫的。 （opp long）。2 矮的；低的 （opp tall）。3 短期的。4 簡短的...
  • term : n 1 期限，期間。2 學期，任期；（支付）結算期；【法律】開庭期，（權利的）有效期間；定期租借（地產...
  • forecasting : （勞動力供求）預測
  1. 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
  2. Comparison of the city water consumption short - term forecasting methods

    城市用水量短期預測方法的比較
  3. Short - term electricity price forecasting based on period - decoupled price sequence

    分時段短期電價預測
  4. Short - term sale forecasting summarizes the law of commodity sale from the early sale, and predicts the future sale automatically

    短期銷售預測就是從歷史銷售額數據中總結商品銷售中的規律性，並用這個規律動態地預測未來的銷售額。
  5. 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。
  6. Then the paper investigated the regularity of different oil indices using time series statistical analysis method, which suggested that there are some regular components in it, including long - term secular trend, seasonal component and long - term cyclical component. the irregular component also plays an important part in it, mainly including the policy of opec, war, all kinds of international convention for the prevention of pollution from tankers and so on. and then a study of simulation and forecasting performance of arima time series model was conducted to crude oil indices, evidence shows that arima model performs better, especially for short - term forecasting

    在此基礎上，本文以時間序列分析作為基礎研究手段，以德國海運費率指數公布的1980年1月至1999年12月的四類油運費率指數為研究對象，分析了四類油運費率指數的長期變化趨勢、季節變化規律、長期周期循環變化規律和不規則變化規律，並應用arima時間序列模型對160000dwt以上的原油運費率指數進行了短期預測，取得了較好的預測效果。
  7. As the most essential method of fixed time, fixed point and quantitative forecasting, numeric weather forecasting has became the primary technical way of the medium - term and short - term forecasting

    作為定時、定點、定量預報最根本的方法，數值天氣預報已成為製作中、短期天氣預報的主要技術手段。
  8. For system purchase party, it consists of the power purchase unit cost, the forecasting of which make it possible for control the dynamic cost of itself ; for market monitors, the forecasting of it provide rational foundation for the development and competition with soundness 、 stability and order ; for power generators, the system margin price is its product price and its profit rely on the success bidding strategy which bases on the grasp the tendency of short - term market price. if known the information of power price beforehand, the power generators will get greater profit

    從系統購電方來看，系統邊際電價構成了它的單位購電成本，系統邊際電價的預測使自身的動態成本控製成為可能；從市場的監管者來看，系統邊際電價的預測為促使市場健康、穩定、有序地競爭和發展提供科學依據；從發電方來看，系統邊際電價是它的產品價格，其利潤依賴于成功的報價策略，報價策略形成的基礎是準確把握短期市場的走向，把握市場的關鍵是對系統邊際電價的準確預測。
  9. A short - term forecasting model on the population of baotou

    包頭市人口數量短期預測模型
  10. This paper thoroughly and deeply studies the theories and methods about short - term sale forecasting

    本文較為全面地、深入地研究了短期銷售額預測的理論和方法。
  11. The data increases severely in which a lot of targets in fact are so complicated and uncertain to modeling or very difficult accurate modeling, and this proposes the new direction of the research of short - term sale forecasting technology

    許多對象具有復雜的不確定性和時變性，給預測及提高預測精度等方面帶來了一定的難度，短期銷售額預測分析是一個不規則的、復雜的非線性系統，因此對短期銷售預測方法的要求更高。
  12. Directed at the powerful nonlinear mapping ability of neural network. the paper sets up 3 - bp network. on this basis, the paper sets up tentatively an combined forecasting methods based on the ann theory which may accord with the short - term sale forecasting, and offers the detailed theory method appears and design - steps

    針對神經網路具有強大的非線性映像能力，建立三層bp網路進行預測分析。在此基礎上，初步建立了基於神經網路、符合銷售額預測需要的組合預測模型，並給出了詳細的理論方法和設計步驟。
  13. Time series methods are especially good for short - term forecasting where, within reason, the past behaviour of a particular variable is a good indicator of its future behaviour, at least in the short - term

    時間序列法特別適合短期預測，原因之一是一個特定變量的可以由先前的屬性推斷出未來屬性，至少短期可以。
  14. Based on the discussions of the conventional and recent methods of short term load forecasting such as time series, multiple regression approaches and artificial intelligence technologies, this paper presents a hybrid short term forecasting model which combines the artificial neural network ( ann ) and genetic algorithm ( ga ). in order to improve the convergence speed and precision of the back - propagation ( bp ), a new improved algorithm - the adapted learning algorithm based on quasi - newton method is given

    本文首先分析比較了電力系統短期負荷預測的傳統方法時間序列法和回歸方法以及最近的專家系統和神經網路技術的優點和不足，然後針對人工神經網路bp演算法的不足對其進行了改進，採用了基於擬牛頓的自適應演算法，它提高了網路學習效率，具有較快的收斂速度和較高的精度。接著提出了改進的遺傳演算法來改善神經網路的局部收斂性。
  15. After a short - term load forecasting method based analogous and linear extrapolation is proposed, the load forecast and the priority of equipment action are led into static reactive power optimization. the aim function is constructed for the practical situation of power system. on the basis of traditional genetic algorithm the fitness function and the holding of population diversity are improved

    在提出基於相似日和線性外推的短期負荷預測新方法的基礎上，將負荷預測和設備動作優先級引入靜態無功優化中，並結合電網實際情況，構造了實用的目標函數，對遺傳演算法的適應度函數和群體多樣性的保持進行了改進，採用鄰域搜索運算元增加遺傳演算法的局部尋優能力。
  16. Short - term load forecasting of power system is a major foundation for power attemper department to set down generating electricity plan and arrange attemper plan, power supply plan and bargaining plan under market environment

    電力系統短期負荷預測是電力調度部門制定發電計劃的依據，是市場環境下編排調度計劃、供電計劃、交易計劃的基礎。
  17. In this method, ga is used to optimize connection weights of forward - back neural network until the learning error has tended to stability, then we use sp algorithm with optimized weights to finish short - term load forecasting process

    我們用遺傳演算法來訓練網路參數，直到誤差趨於一穩定值，然後用優化的權值進行bp演算法，實現短期負荷預測，模擬實驗結果表明該方法加快網路學習速度，並能提高負荷預測精度。
  18. The accuracy of the numeric weather forecasting is ascending steadily. now the short - term forecasting is obviously better than the subjective forecasting and the usable time of prognosis is 7 days. the forecasting content includes not only prognosis as in the past but also the forecasting of various weather factors and weather phenomena

    數值預報的準確率穩步上升，短期預報已明顯優于主觀預報，可用形勢預報的時限已達7天，預報內容也從單純的形勢預報發展到各種氣象要素和天氣現象的預報。
  19. 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。
  20. The fuzzy exponential smoothing model has been used for short - term forecasting with a minimum of collected data or unknown system structure to determine a better extrapolative interval in a fuzzy set for an unknown future trend

    摘要模糊指數平滑模式對于資料量稀少或系統結構模糊不清之問題，能求解吻合資料未來趨勢的外差模糊預測值，以成功求解未來不確定高的短期預測問題。
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