預期負荷 的英文怎麼說
中文拼音 [yùqīfùhé]
預期負荷
英文
anticipated load-
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Grey prediction of mid - longterm city gas load forecasting
城市燃氣中長期負荷的灰色預測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。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。It includes : solving " excess attempt " and " defective attempt " of agc by load prediction in extraordinary shot time, that is preceding control technique ; ( 2 ) enhancing the regulating capacity and speed of agc of chongqing network by 5 measure ; analyzing the policymaking that chongqing network could achieve criterion now or after three gorges power station running, discussing the managing measure how to enhance regulating capability of agc of chongqing network
其中包括：利用超短期負荷預報解決agc 「過調」和「欠調」問題的超前控制技術；以5種實現方式提高重慶電網agc可調量和調節速度；探討了當前和在三峽電站投運后重慶電網達到考核標準的對策，討論了從管理上提高重慶電網agc調節性能的辦法和措施。The artificial neural net ( ann ) way is universal regard as one of the most effective ways of stlf. in this paper, some research is developed for stlf using ann ways in several parts : the first part is about the arithmetic of ann based on bp model, namely the advanced of traditional bp arithmetic, one alterable step and scale bp arithmetic based on comparability of model and probability of accepting bp arithmetic is used to enhances a lot the convergence rate of learning process of bp network, but also avoid the stagnation problem to some extent. it indicates that the ann ' s efficiency and precision by the way can be ameliorated by the simulation of real data
神經網路方法在短期預測中已經被公認為較有效的方法，本文針對神經網路用於電力系統短期負荷預測的幾個方面展開研究工作：第一部分研究一般用於負荷預測的神經網路bp模型的演算法，即對傳統的bp演算法的改進，將一種基於模式逼近度和接受概率的變步長快速bp演算法應用到短期負荷預測，模擬結果表明該方法有效的改善了bp演算法收斂速度慢以及容易陷入局部最小點的缺點，從而提高了神經網路用於負荷預測的效率和精度。Based on the day - schedule, short - term load forecast, and monitoring program for spinning reserve, the economic dispatch of east china power grid can be realized, which can ensure time margin for load balancing
在日計劃編制的基礎上，結合超短期負荷預計及旋轉備用監視程序，對華東電網各省市的口子及直屬電廠實行經濟調度，使調度在進行出力及負荷平衡時有一定時間裕度及科學依據。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。For short - time natural gas load forecasting. based on analyzing tech situation at home and abroad, considering all kinds of factors which will have influence on load changes, a hybrid approach combined the self - organizing feature map ( sofm ) neural network with multilayer perceptron ( mlp ) is presented, and short - time load forecasting model is established
針對大然氣短期負荷預測的問題，在分析了國內外技術現狀的基礎上，綜合考慮影響負荷變化的各種因素，提出了基於白織織競爭網路和多層感知機網路棍合的大然氣短期負荷預測方法。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。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。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。Application of the grey forecasting model of equidimensional filling vacancies in the medium - long term load forecasting of power system
灰色等維遞補預測模型在電力系統長期負荷預測中的應用Long term load forecasting is commonly to be forecasting which is more than ten years and uses year as it ' s unit, and medium load forecasting is commonly to be forecasting which is about five years and uses year as it ' s unit too
長期負荷預測一般指10年以上並以年為單位的預測，中期負荷預測指5年左右並以年為單位的預測。In this paper, the algorithms of applying the conditions in electric power system short - term load forecasting are introduced. it also gives the algorithms of unit root test and cointegration test, which are necessary to the test of the conditions
針對預測精度的提高，本文還分析了組合預測應用於電力系統短期負荷預測的條件，指出：組合預測模型中的每個單項預測應與被預測變量具有協整關系。Chapter 3 mainly presents the establishment of a hybrid model of stlf
第3章主要介紹了短期負荷預測綜合模型的建立過程。The analysis shows that it is feasible for short - term load forecasting
結果表明可以將負荷求導法用於短期負荷預測。Based on introducing the grey system theory, this paper discusses on the principle of the forecast of equidimensional filling vacancies, advances the dynamic model of grey forecasting of equidimensional filling vacancies in the medium - long term load forecasting of power system, and forecasts the yearly load value of this area in the period of 1999 - 2009 with the model established by using the historical load data of some areas
在介紹灰色系統理論的基礎上，討論了等維遞補預測原理，提出了電力系統中長期負荷預測的灰色等維遞補預測動態模型，並利用某地區的歷史負荷數據建模預測出了該地區1999 ? 2009年的年負荷值。Again, you may establish these minimums proportionately to the expected load of that instance
此外，可能需要建立與該實例的預期負荷成正比的最小值。Generally, comparing with actual data of load the middle - term load forecasted by regression analysis method often contains notable error
一般對于電力系統中期負荷預測採用回歸分析模型，但其預測結果往往有很大誤差。分享友人