Description: 为提高了短期负荷预测的精度根据季节气候的不同做不同的模糊处理并建立专家处理系统对天气做的模糊处理使预测结果令人满意-to a rise in short-term load forecasting accuracy under different seasonal climate so different fuzzy treatment and the establishment of the Expert Jimmy system for weather so fuzzy treatment made forecasting satisfactory results Platform: |
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Author:bluebowl |
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Description: 网络服务正在更新换代并且可扩展设备被设计成可提供在元计算环境中动态资源行为预测。这篇文章里，我们描述了预测产生的的设计和预测行为的细节。当预测方式为普通方式时，我们关注与他对TCP/IP端到端吞吐量能力的预测和在不同地点使用不同系统会带来的延迟量。因为在元计算软件的基础上网络预测需要计划的支持和质量服务保证的提高。-The Network Weather Service is a generalizable and extensible facility designed to provide dynamic resource performance forecasts
in metacomputing environments.In this paper,we outline its design and detail the predictive performance of the forecasts it generates.
While the forecasting methods are general,we focus on their ability to predict the TCP/IP end-to-end throughput and latency that is
attainable by an application using systems located at differentsites.Such network forecasts are needed both to support scheduling
(Bermanetal.,1996)and,by the metacomputing software infrastructure,to develop quality-of-service guarantees(DeFantietal.,to
appear Grimshawetal.,1994).
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Author:will |
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Description: 时间序列分析是根据系统观测得到的时间序列数据，通过曲线拟合和参数估计来建立数学模型的理论和方法。它一般采用曲线拟合和参数估计方法（如非线性最小二乘法）进行。时间序列分析常用在国民经济宏观控制、区域综合发展规划、企业经营管理、市场潜量预测、气象预报、水文预报、地震前兆预报、农作物病虫灾害预报、环境污染控制、生态平衡、天文学和海洋学等方面。(Time series analysis is the theory and method of establishing mathematical model by curve fitting and parameter estimation according to time series data obtained from system observation. It usually uses curve fitting and parameter estimation methods (such as nonlinear least squares). Time series analysis is commonly used in the national economy macro control, regional comprehensive development planning, enterprise management and market potential prediction, weather forecasting, hydrological forecasting, earthquake prediction, pest disaster forecasting, environmental pollution control, ecological balance, astronomy and oceanography etc..) Platform: |
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Author:Terrier
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