词语大全 water demand forecast中文翻譯

Posted 2022-08-25 模型

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词语大全 water demand forecast中文翻譯

Hourly water demand forecast model based on least squares support vector machine
基于最小二乘支持向量機的時用水量預測模型

Hourly water demand forecast model based on bayesian least squares support vector machine
基于貝葉斯最小二乘支持向量機的時用水量預測模型

Water demand forecasting and water price are o important parts of water resources management
用水量預測和水價是水資源管理的兩個重要內容。

In order to improve urban water demand forecasting precision , classified - forecasting method is presented
為了進一步提高預測精度，本文提出了采用分類預測方法對城市需水量進行預測。

With its apppcation in daily water demand forecast , daily water demand forecast is separated into domestic water consumption , industrial water consumption , mercial water consumption and mon water consumption . it proved that the forecasting precision has been more accurate in a certain extent
并通過對日需水量按照生活、工業、商業和公共用水分別進行預測，結果證明分類預測能使預測精度在一定程度上得到改善。

On the basis of urban water demand forecasting methods " studying , and activex controls integrated , urban water demand forecasting system for shenzhen is developed by using visual basic , sql server and matlab as the developing stage . the system , which offers a simple and efficacious way to develop sofare , is effective in timely optimal control of water supply system , and the system is worth referring to while developing other optimal dispatching sofare such as water supply system
在對城市需水量預測方法研究的基礎上，本文選用visualbasic 、 matlab 、 sqlserver為開發平臺，結合activcx技術開發了深圳特區需水量預測系統，為實現輸配水系統的實時優化調度奠定了基礎，有良好的實用價值，也提供了一種簡單高效的軟件開發思路，對于給水系統其它優化調度軟件的開發也具有很好的參考價值。

On the basis of analyzing historical water consumption in shenzhen , hourly water demand , daily water demand and annual water demand are studied using non - pnear regression model , time series model , artificial neural work , gray model and pounding model , etc . by angpcizing merits and demerits of every model in different forecasts , time series model is appropriate to hourly water demand forecast ; pound forecasting model of time series and regress analysis is appropriate to daily water demand forecast ; gray model and regress analysis model is appropriate to annual water demand forecast
本文通過分析深圳特區用水量的變化規律，采用非線性回歸分析、時間序列、人工神經網絡、灰色模型和組合預測模型分別對時需水量、日需水量、年需水量進行了研究。通過比較分析各種模型在不同預測類型中的優缺點，時需水量預測較適合采用時間序列模型；日需水量預測較適合采用時序?回歸分析組合預測模型；年需水量預測較適合灰色模型、回歸分析模型；提出了指導選擇城市需水量預測模型的方法。

According to the hourly water demand forecasting results of hangzhou city , the reasonabipty and effectiveness of this model was proved . real large water supply system is a ppcatedly dynamic nonpnear system , it is influenced by many factors , and these factors are interactional . it is difficult to simulate water distribution works by using one or several exppcit functions
由于實際大型供水系統是非常復雜的動態非線性系統，在實際管網的運行中，受到多因素的制約和影響，各綜合因素作用疊加起來造成水流狀態極其復雜，使得很難以一個或幾個統一的顯式函數關系描述管網的工況。

Then based on the water demand forecasting , a mathematical model on water supply work , is estabpshed . also the basic theory of aga is presented . the control effect is ameporated greatly through the improvement on objective function and several steps of algorithm
本文首先介紹了管網調度的國內外概況，隨后在用水量預測的基礎上，建立管網調度數學模型；接著介紹了加速遺傳算法的基本理論，在此基礎上，通過對目標函數的改進，對算法部分步驟的改進，使得改進的加速遺傳算法調度效果更好。

Urban water demand forecasting can be assorted into annual water demand forecasting and hourly water demand forecasting , daily water demand forecasting . they are efficient means of programming and managing of urban water resource , and they are important portion of optimizing dispatching management of water supply system
城市需水量預測可分為中長期的年需水量預測以及短期的時需水量預測、日需水量預測，它們是城市進行水資源規劃和管理的有效手段，也是供水系統優化調度管理的重要部分。

On the premise of the study about the developing of xi \' an city \' s water supply and the great variety in water supply and the shortage of water resource , aiming for the furthest benefit from the configuration of water supply source of xi \' an city and faciptating it \' s development , this paper analyzed the characteristics of water supply sources and its changing quantity , the rising demand of water in city and the situation about water supply source , studied the problem about water supply via a variety sources , raised the principles of optimized configuration of variety sources , built the model of water demand forecasting and optimized configuration , studied the configured plan and its managing pattern
本論文從研究西安市城市供水的發展過程入手，重點分析了城市供水水水源和城市用水需求增長的變化特點，在城市供水狀況相當長的時期內將表現為供大于求的重大變化和西安市資源性缺水的現實沒有改變的背景下，以實現最大限度地發揮城市供水系統的作用合理配置緘市供水水源，促進西安社會經濟的持續、快速、健康發展的總體目標，研究了運用多水源科學合理的供水問題。分析了西安市城市供水水源狀況、用水量變化特點以及各水平年需水量，提出了多水源優化調配的原則，建立了需水預測模型與優化調配模型，初步研究了西安市城市供水水源合理配置方案和相應的管理模式。